Sökresultat för "Mathematical Optimization"

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers. WHY CONSUMER FRONTEND? Consumer Frontend’s team mission is to deliver the frontend architecture, components, libraries, navigation patterns, and core UI necessary for a high-quality, performant, intuitive, and observable consumer user experience for gaming and all future use cases. One of the focus areas is UX Excellence through Standardization, where the goal is to maintain a comprehensive library of high-quality components and navigation patterns that ensure a consistent and intuitive experience across all consumer surfaces. As a Data Scientist on the team, you will partner with engineers, product managers, designers, and leaders across the company to shape the future of user navigation, discovery, and interaction across the Roblox app. This includes helping define and evaluate foundational information architecture, navigation systems, and cross-surface user experiences, while also contributing to the measurement strategy for emerging AI-enabled workflows that accelerate how user experiences are designed, built, tested, and iterated. This area is pivotal to Roblox’s long-term success, directly impacting user engagement, retention, and the overall quality of the consumer experience. You will define KPIs and measurement frameworks for navigation efficiency, content discoverability, user friction, and UX quality, and leverage analytics, experimentation, and statistical rigor to influence product decisions and drive continuous improvements to the usability and effectiveness of the Roblox app. You Will: * Define and measure the success of Roblox’s information architecture, navigation systems, and core user experiences. Develop metrics and frameworks that quantify navigation efficiency, information discoverability, user friction, and overall UX quality. * Develop a deep understanding of user journeys, navigation behaviors, and user intent across the Roblox app. Identify opportunities to improve how users discover content, navigate between surfaces, and accomplish their goals, and translate those insights into product strategy and UX improvements. * Establish decision-making frameworks for evaluating trade-offs across user journeys, surfaces, and product objectives. Help teams understand the downstream effects of navigation and information architecture changes, balancing local optimizations with the health and effectiveness of the broader consumer experience. * Leverage experimentation, causal inference, and statistical modeling to evaluate platform-wide initiatives and cross-surface UX investments. Design rigorous approaches to measurement in environments where traditional experimentation may be challenging. * Partner closely with Product, Engineering, Design, and Data Science leaders across Consumer Apps and adjacent organizations to influence product strategy and shape the future of how users navigate and interact with Roblox. * Perform deep-dive analyses and build scalable measurement frameworks that enable teams to monitor UX health, identify regressions, uncover emerging opportunities, and make data-informed decisions at scale. You Have: * An advanced degree in Statistics, Applied Mathematics, Physics, Engineering, Computer Science, Economics, or a related quantitative field. * 5+ years of industry experience in Data Science or a related quantitative discipline, preferably in consumer-facing products or consumer applications. * Strong analytical and technical skills, including experience working with large-scale datasets and proficiency in SQL and Python/R. * Deep expertise in statistical analysis, causal inference, experimentation, and measurement methodologies, with a track record of applying these techniques to influence product strategy and business outcomes. * Demonstrated ability to independently drive ambiguous, high-impact problem spaces, applying first-principles thinking to develop novel frameworks and solutions. * Experience partnering cross-functionally with Product, Engineering, Design, and leadership teams to shape strategy, prioritize investments, and drive organizational alignment. * Exceptional communication and storytelling skills, with the ability to distill complex, high-dimensional problems into clear, actionable insights for both technical and executive audiences. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $263,670—$322,820 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know our Team:   The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. In this role you'll get to: * Experimentation and optimizing campaign performance: Experiment with pricing strategies on different traffic and segments. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap * Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders What you’ll Need to Succeed:   * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science) * Ability to communicate fluently in English * 2+ years’ experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company * Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL * Good numerical reasoning skills * Proficiency in Excel * Intellectual curiosity It’s Great if you Have:   * Experience in digital marketing * Academic research experience #STRA#ANLS#MRKT#3#LI-TR2 #SANFRANCISCO #SANJOSE #LOSANGELES #SANDIEGO #OAKLAND #DENVER #MIAMI #ORLANDO #ATLANTA #CHICAGO #BOSTON #DETROIT #NEWYORK #PORTLAND #PHILADELPHIA #DALLAS #HOUSTON #AUSTIN #SEATTLE #WASHDC #TIRANA #YEREVAN #SYDNEY #MELBOURNE #PERTH #VIENNA #GRAZ #LINZ #BAKU #MINSK #BRUSSELS #ANTWERP #GHENT #CHARLEROI #LIEGE #SAOPAOLO #SOFIA #TORONTO #VANCOUVER #MONTREAL #SHANGHAI #BEIJING #SHENZHEN #ZAGREB #CYPRUS #PRAGUE #BRNO #OSTRAVA #COPENHAGEN #CAIRO #ALEXANDRIA #GIZA #ESTONIA #HELSINKI #PARIS #NICE #MARSEILLE #ROUEN #LYON #TOULOUSE #TBILISI #BERLIN #MUNICH #HAMBURG #STUTTGART #COLOGNE #FRANKFURT #DUSSELDORF #DORTMUND #ESSEN #BREMEN #LEIPZIG #DRESDEN #HANOVER #NUREMBERG #ATHENS #HONGKONG #BUDAPEST #BANGALORE #NEWDELHI #JAKARTA #BALI #BANDUNG #DUBLIN #TELAVIV #MILAN #ROME #NAPLES #TURIN #PALERMO #VENICE #BOLOGNA #FLORENCE #TOKYO #OSAKA #YOKOHAMA #NAGOYA #OKINAWA #FUKUOKA #SAPPORO #AMMAN #IRBID #RIGA #BEIRUT #TRIPOLI #VILNIUS #LUXEMBOURG #KUALALUMPUR #MALTA #CHISINAU #AMSTERDAM #OSLO #JERUSALEM #MANILA #WARSAW #KRAKOW #SINTRA #LISBON #PORTO #BRAGA #CASCAIS #LOURES #AMADORA #ALMADA #DOHA #ALRAYYAN #BUCHAREST #MOSCOW #SAINTPETERSBURG #RIYADH #JEDDAH #MECCA #MEDINA #BELGRADE #SINGAPORE #BRATISLAVA #CAPETOWN #JOHANNESBURG #SEOUL #BARCELONA #MADRID #VALENCIA #SEVILLE #BILBAO #MALAGA #OVIEDO #ALICANTE #LASPALMAS #ZARAGOZBANGA #STOCKHOLM #ZURICH #GENEVA #BASEL #TAIPEI #TAINAN #TAICHUNG #KAOHSIUNG #PHUKET #BANGKOK #ISTANBUL #ANKARA #IZMIR #DUBAI #ABUDHABI #SHARJAH #LONDON #MANCHESTER #LIVERPOOL #EDINBURGH #KIEV #HCMC #HANOI #SANAA #TAIZ #ADEN #GIBRALTAR #MARRAKECH #LODZ #WROCLAW #POZNAN #GDANSK #SZCZECIN #BYDGOSZCZ #LUBLIN #KATOWICE #RIO #SALVADOR #FORTALEZA #BRASILIA #BELO #BELEM #MANAUS #CURITIBA #PORTOALEGRE #SAOLUIS DATA REPRESENTATION DATA ANALYSIS SQL DATA ANALYTICS ANALYTICS PYTHON (PROGRAMMING LANGUAGE) DATA MINING DATA SCIENCE R (PROGRAMMING LANGUAGE) TABLEAU ANALYTICAL SKILLS DATA VISUALIZATION DATABASES BUSINESS ANALYSIS BUSINESS INTELLIGENCE (BI) MICROSOFT SQL SERVER MACHINE LEARNING STATISTICS MICROSOFT POWER BI JAVA FINANCE SHOPEE TRAVELOKA GOOGLE FACEBOOK CTRIP TRIP.COM MAKEMYTRIP GRAB AMAZON PANDAS (SOFTWARE) ARTIFICIAL INTELLIGENCE (AI) INFORMATION TECHNOLOGY CAPITAL ONE ACCENTURE UPWORK DELOITTE MCKINSEY BAIN MICROSOFT UBER LYFT GOJEK LAZADA ALIBABA SHOPIFY EXPEDIA SKYSCANNER      PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know our Team:   The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. In this Role, you’ll get to:   * Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. * Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. * Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers. What you’ll Need to Succeed:   * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science) * Fresh graduation are welcome (0-1 years of experience) * Ability to communicate fluently in English * Basic business acumen * Proficient in statistics and Excel * Exposure to data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau) * Familiar with A/B testing concepts * Works under close supervision and supports projects with guidance It’s Great if you Have:   * Experience in digital marketing * Academic research experience #Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown     PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to know our team:   The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels.  While the scope will vary depending on these channels,  here are some examples: * Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, TripAdvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap * Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders What you’ll Need to Succeed:   * Bachelor’s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study * 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company * Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc. * Excellent verbal and written communication skills in English * Ability to move fast and be efficient, making decisions on objective data evidence  * Innate desire to take ownership, make an impact and influence outcomes * Excellent organizational skills, attention to detail and ability to work independently It’s great if you have:   * Experience in digital marketing or e-commerce * Experience with A/B testing and other testing metrics * Strong presentation and negotiation skills #STRA#ANLS#MRKT#3#LI-TR2 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #linz #baku #minsk #brussels #antwerp #ghent #charleroi #liege #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #lisbon #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi     PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know our Team:   The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. In this Role, you’ll get to:   * Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. * Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. * Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers. What you’ll Need to Succeed:   * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science) * Ability to communicate fluently in English * 4+ years’ experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company * Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL * Good numerical reasoning skills * Proficiency in Excel * Intellectual curiosity It’s Great if you Have:   * Experience in digital marketing * Academic research experience #STRA#ANLS#MRKT#3#LI-TR2 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #linz #baku #minsk #brussels #antwerp #ghent #charleroi #liege #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #lisbon #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner      PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know our Team:   The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. In this Role, you’ll get to:   * Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. * Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. * Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers. What you’ll Need to Succeed:   * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science) * Ability to communicate fluently in English * Good numerical reasoning skills * Proficiency in Excel * Intellectual curiosity It’s Great if you Have:   * Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL * Experience in digital marketing * Academic research experience #STRA#ANLS#MRKT#3#LI-TR2 #Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #MexicoCity #Phoenix #Detroit #Lisbon #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Fortaleza #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server     PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to know our team:   The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels.  While the scope will vary depending on these channels,  here are some examples: * Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, TripAdvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap * Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders What you’ll Need to Succeed:   * Bachelor’s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study * 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company * Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc. * Excellent verbal and written communication skills in English * Ability to move fast and be efficient, making decisions on objective data evidence  * Innate desire to take ownership, make an impact and influence outcomes * Excellent organizational skills, attention to detail and ability to work independently It’s great if you have:   * Experience in digital marketing or e-commerce * Experience with A/B testing and other testing metrics * Strong presentation and negotiation skills #STRA#ANLS#MRKT#3#LI-TR2 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #linz #baku #minsk #brussels #antwerp #ghent #charleroi #liege #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #lisbon #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi     PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to know our team:   The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe. Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels.  While the scope will vary depending on these channels,  here are some  examples: * Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing,  Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap * Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders What you’ll Need to Succeed:   * Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) * Excellent verbal and written communication skills in English * 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business  for a fast-growing globaltech company * Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI * Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel * Innate desire to take ownership, make an impact and influence outcomes * Excellent organizational skills, attention to detail and ability to work independently It’s great if you have:   * Experience in digital marketing or ecommerce * Experience with A/B testing and other testing metrics * Strong presentation and negotiation skills * Skills that foster collaboration and team spirit #STRA#ANLS#MRKT#3#LI-TR2 #SANFRANCISCO #SANJOSE #LOSANGELES #SANDIEGO #OAKLAND #DENVER #MIAMI #ORLANDO #ATLANTA #CHICAGO #BOSTON #DETROIT #NEWYORK #PORTLAND #PHILADELPHIA #DALLAS #HOUSTON #AUSTIN #SEATTLE #WASHDC #TIRANA #YEREVAN #SYDNEY #MELBOURNE #PERTH #VIENNA #GRAZ #LINZ #BAKU #MINSK #BRUSSELS #ANTWERP #GHENT #CHARLEROI #LIEGE #SAOPAOLO #SOFIA #TORONTO #VANCOUVER #MONTREAL #SHANGHAI #BEIJING #SHENZHEN #ZAGREB #CYPRUS #PRAGUE #BRNO #OSTRAVA #COPENHAGEN #CAIRO #ALEXANDRIA #GIZA #ESTONIA #HELSINKI #PARIS #NICE #MARSEILLE #ROUEN #LYON #TOULOUSE #TBILISI #BERLIN #MUNICH #HAMBURG #STUTTGART #COLOGNE #FRANKFURT #DUSSELDORF #DORTMUND #ESSEN #BREMEN #LEIPZIG #DRESDEN #HANOVER #NUREMBERG #ATHENS #HONGKONG #BUDAPEST #BANGALORE #NEWDELHI #JAKARTA #BALI #BANDUNG #DUBLIN #TELAVIV #MILAN #ROME #NAPLES #TURIN #PALERMO #VENICE #BOLOGNA #FLORENCE #TOKYO #OSAKA #YOKOHAMA #NAGOYA #OKINAWA #FUKUOKA #SAPPORO #AMMAN #IRBID #RIGA #BEIRUT #TRIPOLI #VILNIUS #LUXEMBOURG #KUALALUMPUR #MALTA #CHISINAU #AMSTERDAM #OSLO #JERUSALEM #MANILA #WARSAW #KRAKOW #SINTRA #LISBON #PORTO #BRAGA #CASCAIS #LOURES #AMADORA #ALMADA #DOHA #ALRAYYAN #BUCHAREST #MOSCOW #SAINTPETERSBURG #RIYADH #JEDDAH #MECCA #MEDINA #BELGRADE #SINGAPORE #BRATISLAVA #CAPETOWN #JOHANNESBURG #SEOUL #BARCELONA #MADRID #VALENCIA #SEVILLE #BILBAO #MALAGA #OVIEDO #ALICANTE #LASPALMAS #ZARAGOZBANGA #STOCKHOLM #ZURICH #GENEVA #BASEL #TAIPEI #TAINAN #TAICHUNG #KAOHSIUNG #PHUKET #BANGKOK #ISTANBUL #ANKARA #IZMIR #DUBAI #ABUDHABI #SHARJAH #LONDON #MANCHESTER #LIVERPOOL #EDINBURGH #KIEV #HCMC #HANOI #SANAA #TAIZ #ADEN #GIBRALTAR #MARRAKECH #LODZ #WROCLAW #POZNAN #GDANSK #SZCZECIN #BYDGOSZCZ #LUBLIN #KATOWICE #RIO #SALVADOR #FORTALEZA #BRASILIA #BELO #BELEM #MANAUS #CURITIBA #PORTOALEGRE #SAOLUIS DATA REPRESENTATION DATA ANALYSIS SQL DATA ANALYTICS ANALYTICS PYTHON (PROGRAMMING LANGUAGE) DATA MINING DATA SCIENCE R (PROGRAMMING LANGUAGE) TABLEAU ANALYTICAL SKILLS DATA VISUALIZATION DATABASES BUSINESS ANALYSIS BUSINESS INTELLIGENCE (BI) MICROSOFT SQL SERVER MACHINE LEARNING STATISTICS POWER BI     PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know our Team:   The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. In this Role, you’ll get to:   * Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. * Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. * Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers. What you’ll Need to Succeed:   * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science) * Ability to communicate fluently in English * Good numerical reasoning skills * Proficiency in Excel * Intellectual curiosity It’s Great if you Have:   * Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL * Experience in digital marketing * Academic research experience #STRA #ANLS #MRKT #3 #LI-TR2 #HONGKONG #KUALALUMPUR #MUMBAI #NEWDELHI #DELHI #BANGALORE #HOCHIMINH #JAKARTA #MANILA #BEIJING #TORONTO #VANCOUVER #BERLIN #PARIS #BARCELONA #LONDON #MADRID #BANGKOK #SINGAPORE #TOKYO #AMSTERDAM #HCMC DATA REPRESENTATION DATA ANALYSIS SQL DATA ANALYTICS ANALYTICS PYTHON (PROGRAMMING LANGUAGE) DATA MINING DATA SCIENCE R (PROGRAMMING LANGUAGE) TABLEAU ANALYTICAL SKILLS DATA VISUALIZATION DATABASES BUSINESS ANALYSIS BUSINESS INTELLIGENCE (BI) MICROSOFT SQL SERVER MACHINE LEARNING STATISTICS MICROSOFT POWER BI JAVA FINANCE SHOPEE TRAVELOKA GOOGLE FACEBOOK CTRIP TRIP.COM MAKEMYTRIP GRAB AMAZON PANDAS (SOFTWARE) ARTIFICIAL INTELLIGENCE (AI) INFORMATION TECHNOLOGY CAPITAL ONE ACCENTURE UPWORK DELOITTE MCKINSEY BAIN MICROSOFT UBER LYFT GOJEK LAZADA ALIBABA SHOPIFY EXPEDIA SKYSCANNER        PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to know our team:   The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe. Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels.  While the scope will vary depending on these channels,  here are some  examples: * Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing,  Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap * Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders What you’ll Need to Succeed:   * Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) * Excellent verbal and written communication skills in English * 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business  for a fast-growing globaltech company * Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI * Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel * Innate desire to take ownership, make an impact and influence outcomes * Excellent organizational skills, attention to detail and ability to work independently It’s great if you have:   * Experience in digital marketing or ecommerce * Experience with A/B testing and other testing metrics * Strong presentation and negotiation skills * Skills that foster collaboration and team spirit #STRA#ANLS#MRKT#3#LI-TR2 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #linz #baku #minsk #brussels #antwerp #ghent #charleroi #liege #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #lisbon #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi     PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to know our team:   The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe. Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels.  While the scope will vary depending on these channels,  here are some  examples: * Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing,  Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap * Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders What you’ll Need to Succeed:   * Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) * Excellent verbal and written communication skills in English * 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business  for a fast-growing globaltech company * Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI * Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel * Innate desire to take ownership, make an impact and influence outcomes * Excellent organizational skills, attention to detail and ability to work independently It’s great if you have:   * Experience in digital marketing or ecommerce * Experience with A/B testing and other testing metrics * Strong presentation and negotiation skills * Skills that foster collaboration and team spirit   #Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown     PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know our Team:   The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. In this Role, you’ll get to:   * Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. * Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. * Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers. What you’ll Need to Succeed:   * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science) * Ability to communicate fluently in English * 2+ years’ experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company * Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL * Good numerical reasoning skills * Proficiency in Excel * Intellectual curiosity It’s Great if you Have:   * Experience in digital marketing * Academic research experience   #Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown       PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. From the early days, simulated physics has been the foundation of the way users build in Roblox. Our physics engine enables dynamic environments with emergent behavior making games more immersive and exciting. The Physics team develops Roblox's proprietary distributed physics engine. Our team implements the mathematical models behind our dynamic simulation engine, and ships engine APIs and tools that developers use every day. These models incorporate rigid body dynamics arising from external forces, collisions, and constraints while optimizing for real-time performance. We work on integrating the low level physics solver into the rest of the engine for online gameplay across multiple platforms. You will report to the Physics Environment Engineering Manager. YOU WILL: * Innovate and implement powerful physics features that empower Roblox developers to create immersive and dynamic experiences. * Drive innovation through research and rapid prototyping, translating new ideas into practical solutions that stand the test of time. * Optimize and enhance the robustness and performance of the physics engine and its integrations, ensuring a seamless user experience. * Collaborate with internal teams and external developers, providing expert support and guidance to improve feature utilization and resolve technical challenges. YOU HAVE: * Extensive C++ Development: 8+ years of professional experience writing high-performance, optimized C++ code (2+ years if with an advanced degree). * Performance Engineering: Demonstrated ability to use multithreading and SIMD optimization techniques to enhance application efficiency with knowledge of modern computer architecture and its impact on software performance. * Physics and Numerical Methods Experience: Practical experience applying numerical methods to solve problems in real-time physics simulation. * Real-Time Physics Expertise: Proven experience developing and deploying real-time and online multiplayer physics simulations. * Physics SDK Familiarity: Hands-on experience integrating and applying physics SDKs such as PhysX, Havok, and Bullet. * Educational Background: Bachelor's or advanced degree in Computer Science, Mathematics, Physics, Engineering, or equivalent demonstrated experience. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $295,250—$345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Coupang

Company Introduction: Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.     Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.  We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”      Role Overview: We're in search of a Staff Data Scientist to join our supply chain management technology team. This role is ideal for someone deeply passionate about applied research, AI/ML, and Operations Research, eager to collaborate across product, engineering, business, and operations to tackle the most complex challenges in supply chain management. The successful candidate will thrive in an interdisciplinary environment, adept at developing production solutions from scratch or enhancing existing ones, and will play a pivotal role in shaping and executing the vision for automating supply chain management.   What You Will Do: * Collaborate closely with cross-functional teams, including product, engineering, and business, to identify opportunities for enhancing our technology products, translating ambiguous business requirements into practical solutions. * Conduct comprehensive research and analysis to inform model development, establishing metrics and success criteria for evaluating solution effectiveness * Deliver data-driven solutions to support automated decision-making at scale, leveraging advanced Statistics, Machine Learning, and Operations Research techniques to optimize business processes and make data-driven decisions/predictions * Analyze/solve complex data problems using innovative methods, such as deep learning, and communicate findings to technical and non-technical stakeholders through clear and concise reports and presentations * Provide analysis for launched solutions to quantify outcomes based on real-world results, identifying areas for improvement and opportunities for future development   Basic Qualifications * Bachelor's/Master's degree in mathematics/statistics, computer science/engineering, industrial engineering, operations research, or any other quantitative disciplines, with 5+ years of relevant experience working in industry or academia * Hands-on experience in statistics/ML fundamentals and demonstrated experience in Python, SQL, and basic visualization tools (e.g., Tableau, Power BI) * Strong critical thinking skills and ability to solve ambiguous problems supported by solid knowledge of data science and machine learning fundamentals, with proven experience to formulate business problems to data science solutions  * Ability to conduct analysis independently for a business problem through data manipulation, hypothesis formulation, experiment design, and statistical analysis * Excellent written and verbal communication skills to effectively engage with technical and business stakeholders at all levels, including presentation development and delivery   Preferred Qualifications: * Strong ability to model ambiguous business and operational problems at the appropriate level of abstraction, with a focus on delivering practical solutions * Advanced proficiency with machine learning frameworks, tools, and languages such as Python, R, Java, TensorFlow, and PyTorch, with experience building ML/DL models to handle large-scale datasets * Proven experience in AI/ML-driven demand forecasting, lead time prediction, causal models, fulfillment rate prediction, with the ability to collaborate with ML Engineers and Data Analysts to optimize model development and deployment * Experience designing and implementing large-scale optimization solutions for complex business problems * Expertise in developing and deploying advanced algorithms, including decomposition methods, heuristics/metaheuristics, and hybrid methods * Familiarity with Big Data ecosystem (Spark, Hive, HBase) and SQL/NoSQL (Redis/MongoDB) for handling complex data transformations and analysis * A deep understanding of the e-commerce business domain and the ability to apply cutting-edge models into production environments, driving measurable results   Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.   Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Coupang does not discriminate against disabled applicants or those with veteran status. * We are proud to offer equal opportunities for all applicants.   Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Databricks

RDQ427R169 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest levels of leadership — translating the full power of data science into clear, actionable narratives for our CEO, C-suite, and Board of Directors. Our vision is simple: data drives every Databricks decision and action. To get there, we need a world-class statistician and communicator — someone who can bridge the gap between deep analytical rigor and executive decision-making. This is a pure IC role with company-wide influence: no direct reports, maximum leverage. Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. We built the Databricks Data Intelligence Platform to help organizations unify their data, analytics, and AI workloads. With more than 10,000 organizations worldwide — including over half of the Fortune 500 — relying on Databricks, and a team of 7,000+ employees, we are at the forefront of the data and AI revolution. We have been recognized as a leader by Gartner, Forrester, and IDC, and have raised more than $4 billion in funding at a $62 billion valuation. THE IMPACT YOU WILL HAVE * Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors — ensuring data science insights directly inform the company's most critical decisions. * Statistical authority. Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. Advance the state-of-the-art in how Databricks applies statistical methods to business problems. * Org-wide uplevel. Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. Make every DS team better at telling their story. * Strategic insights. Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning — the kind of synthesized, judgment-rich insight that AI cannot autonomously create. * Cross-functional influence. Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. Be the trusted analytical advisor in rooms where critical decisions are made. * External thought leadership. Represent Databricks externally as a data science thought leader at industry conferences, in publications, and in the broader statistical community. Build an external identity that attracts world-class talent. * Methodology and standards. Define and evolve company-wide scientific methodologies — experimentation frameworks, forecasting systems, causal inference approaches — to match and push industry state-of-the-art. WHAT WE LOOK FOR REQUIRED * 15+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia. * Proven track record of presenting statistical and data science concepts to C-suite and Board-level audiences, with measurable impact on executive decision-making. * Broad expertise across data science disciplines: experimentation, causal inference, forecasting, optimization, and machine learning. * Exceptional written and verbal communication — the ability to make complex statistical concepts intuitive and compelling for non-technical executives. * Track record of upleveling teams: setting analytical standards, mentoring senior data scientists, and improving org-wide output quality. * Experience at the intersection of statistics and large-scale technology or data platforms. * Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field. PREFERRED * Academic research or teaching background in statistics or a quantitative field. * Industry experience at multiple tier-1 technology companies. * Published research or recognized thought leadership in applied statistics. * Experience building or leading a "Chief Statistician" or equivalent function. * Experience in infrastructure, platform, or systems-oriented data science. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

FEQ227R130 As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Director of Field Engineering, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be performance tuning, machine learning, industry expertise, or more. The impact you will have: * Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment * Architect production level workloads, including end-to-end pipeline load performance testing and optimisation * Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture * Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures * Improve community adoption (through tutorials, training, hackathons, conference presentations) * Contribute to the Databricks Community What we look for: * You will have experience in a customer-facing technical role with expertise in at least one of the following: * Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions. * Data Scientist/ML Engineer: model selection, model lifecycle, hyper parameter tuning, model serving, deep learning. * Data Applications Engineer: Build use cases that use data - such as risk modelling, fraud detection, customer life-time value. * Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP. * Maintain and extend production data systems to evolve with complex needs. * Production programming experience in Python, R, Scala or Java * Deep Specialty Expertise in at least one of the following areas: * Experience scaling big data workloads that are performant and cost-effective. * Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces. * Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking. * Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow. * Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) * Native level Korean is required and Business level English is a plus About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.