Senior Product Data Scientist

Tripadvisor

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. At Tripadvisor experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision making. About the Role As our Senior Product Data Scientist, you will be the cornerstone of our advanced analytics capability.  This is more than a technical role; it's a high-impact position designed to shape the future of our product by embedding deep, quantitative intelligence into its core. You will help set the vision for how data science can solve our most challenging problems. You will act as a catalyst, mentoring a talented team of product analysts while spearheading the development of models and frameworks that drive our product strategy forward.   What You will do: * Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience. * Use your knowledge and experience to help scale the impact of the Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency. * Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations. * Exploration of new tooling, product and approaches including Agentic AI and AI Agents, to identify opportunity areas, explore through POC to then drive to adoption.  * Partner with Product Managers, Designers, and Engineers to identify high-impact opportunities where data science can solve customer problems and improve the product. * Champion experimentation by designing and analyzing complex AB tests, causal inference models, and uplift modeling to inform product decisions. * Guide and mentor other product analysts in best practices for experimentation, modeling, and data-driven product development upskilling the team and defining the roadmap for Product Data Science.  * Communicate complex data insights to both technical and non-technical stakeholders with clarity and influence.   Skills & Experience: * Experience: Significant experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. * Technical & Modeling Expertise: Advanced proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., regression, classification, clustering). * Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. * Strategic Influence: A proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design teams). * Scaling Impact: Experience scaling your impact through the creation of automated processes, self-service tools, or data products. * Critical Thinking: Your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.   Nice to Haves: * Advanced programming background with the ability to build simulations and prototype data products. * Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). * Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. * Deep experience in developing sophisticated customer segmentation models including predictive LTV modeling. * Experience working within a two-sided marketplace, e-commerce, or the travel technology industry.     We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!         #LI- Remote #LI-SM1

Tripadvisor

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. At Tripadvisor experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision making. About the Role As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence.   What You will do: * Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. * Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. * Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. * Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. * Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. * Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. * Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. * Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. * Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. * Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams.   Skills & Experience:   * Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. * Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). * Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. * Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design). * Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. * Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. * Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. * Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.   You could be an especially great fit if you have: * Advanced programming background with the ability to build simulations and prototype data products. * Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). * Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. * Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. * Masters degree or equivalent relevant programs     We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!         #LI-Remote #LI-SM1

Monzo

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.  With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ ----------------------------------------------------------------------------------------------------------------------------------   📍Barcelona, Spain | 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits  Hybrid model: 3 days a week in the office About our Data Science Teams: We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement and help us to build a bank that customers truly love.  At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 15 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.  We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future! Your day-to-day Your day-to-day Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability Liaise with engineers to keep making sure we collect the right data to produce relevant business insights You should apply if: * You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well  * You're commercially minded and can put numbers into business perspective  * You’re as comfortable getting hands-on as taking a step back and thinking strategically  * You have a self-starter mindset ; you proactively identify issues and opportunities and tackle them without being told to do so  * You're a team player whom your colleagues can rely on  * You have solid grounding in SQL and preferably Python  * You have experience in conducting large scale A/B experiments The Interview Process: Our interview process involves three main stages: 1. Recruiter Call  2. Initial Call 3. Technical Interview 4. Final Interview including a case study and collaboration interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. What’s in it for you: 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits  📍Barcelona, Spain ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of €1,200 a year for books, training courses and conferences   #LI-JS1 ---------------------------------------------------------------------------------------------------------------------------------- Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊