Data Scientist, Decisions - Central Market Management

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Central Market Management & AI (CMM&AI) team, a key part of the broader Rideshare Experience & Marketplace organization, is essential for maintaining a balanced and efficient marketplace. We do so by developing foundational models, business datasets, and decision-making applications that support a wide range of teams across Lyft. These critical platforms and tools power our pricing / pay strategy, operational alignment, and regional strategies, enabling us to compete effectively in the Rideshare landscape. Data Scientists in CMM&AI solve the foundational problems that drive Lyft’s marketplace. From forecasting supply and demand to optimizing investments and measuring the ROI of growth levers, our work shapes both automated processes and high-level strategic decisions. Because our challenges are unique to a real-time marketplace, we avoid off-the-shelf solutions in favor of creativity and first-principles mathematical reasoning. We leverage a deep stack of technologies across forecasting, machine learning, inference, and optimization to deliver measurable impact. As a Senior Data Scientist on the Foundational Models team in CMM&AI, you will operate at the intersection of Machine Learning, Data Science, and Economics to build scalable optimization and modeling systems that directly impact Lyft’s top and bottom lines. You will be hands-on with formulating optimization problems, building ML models, productionizing pipelines, and integrating their outputs within decision-making frameworks. You will collaborate with Product, Engineers, Data Scientists, and Analysts to help define the roadmap and architecture for our next generation of foundational marketplace models that accelerate iterations and drive business efficiency. RESPONSIBILITIES: * Optimization & Modeling * Design, formulate, and solve complex mathematical optimization problems that power Lyft’s marketplace decisions across pricing, pay, incentives, and resource allocation. * Build, deploy, and maintain production-grade ML and optimization models; collaborate with Software Engineering to integrate algorithms into live systems and establish robust monitoring for model performance and data health. * Own the full model lifecycle—from problem framing and prototyping through experimental validation and production deployment—refusing a “build and forget” mentality. * Apply first-principles mathematical reasoning to marketplace challenges, choosing the simplest effective solution and building complexity only when incremental value justifies the technical debt. * Technical Strategy & Execution * Drive large-scale technical projects from initial concept to high-impact execution, ensuring alignment with business priorities and Lyft’s overarching goals. * Contribute to and influence the multi-quarter technical roadmap for foundational models, helping shape the vision and architecture for next-generation optimization and forecasting systems. * Champion high standards for code quality through well-tested, maintainable code and the development of shared team components and libraries. * Infuse AI capabilities into existing workflows and demonstrate agility in adopting emerging AI models and techniques to keep Lyft at the forefront of marketplace optimization. * Stakeholder Partnership & Influence * Partner with Data Scientists, Engineers, Product Managers, and Business Partners across lever teams (Pricing, Pay, Driver Engagement, Rider Engagement) to frame problems mathematically and within the business context. * Serve as a subject matter expert on optimization and modeling, providing technical guidance and thought leadership to elevate the team’s capabilities. * Foster a data-driven culture by presenting actionable insights and recommendations to senior leadership and cross-functional stakeholders. * Influence stakeholder roadmaps and advise cross-functional partners on the long-term trade-offs of different algorithmic approaches. EXPERIENCE: * Required: * M.S. in Operations Research, Industrial Engineering, Mathematics, Computer Science, Statistics, Economics, or other quantitative fields. * 4+ years of hands-on experience developing and deploying optimization and/or machine learning models in a production environment. * Advanced proficiency in Python and SQL, with a focus on writing clean, maintainable, and well-tested production code. * End-to-end experience with data, including querying, aggregation, analysis, and visualization. * Passion for solving unstructured and non-standard mathematical problems using first-principles reasoning. * Excellent communication skills and a track record of working closely with Software Engineers, Analysts, and Business Stakeholders to drive decision-making. * Preferred: * Ph.D. in Operations Research, Industrial Engineering, Mathematics, Computer Science, Statistics, Economics, or other quantitative fields. * Experience in pricing optimization, marketplace design, and/or resource allocation in a two-sided marketplace environment. * Proven track record of delivering measurable business value through the full lifecycle of model development, including experimental design and causal inference. * Deep understanding of how various levers (e.g., pricing, incentives, supply positioning) influence marketplace equilibrium and system-wide dynamics. * Experience with productionizing algorithms for real-time or near-real-time decision systems. * Experience influencing technical roadmaps and advising cross-functional partners on the long-term trade-offs of different algorithmic approaches. * Exposure to modern AI/ML frameworks or integration patterns BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Mentimeter

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. ---------------------------------------------------------------------------------------------------------------------------------- THE ROLE Are you passionate about advancing the data science craft and leading work that drives measurable business impact across teams?  Join Mentimeter as a Senior Data Scientist, where you will play a pivotal role in shaping how data science supports our Enterprise go-to-market motions and helps Mentimeter make better strategic decisions. Data is central to how Mentimeter succeeds. At Mentimeter, the Catalyst department is on a mission to realise our company strategy and drive innovation, growth, and impact throughout the company by using data, automations and generative AI. In this role, you will collaborate with cross functional teams, senior stakeholders, and company leaders to identify high impact opportunities and turn them into data science solutions that improve decision making, customer outcomes, and revenue growth. You will join the Revenue Analytics team, working at the intersection of analytics, data science, revenue operations, and business. Your work will not only influence team and functional outcomes, but also contribute to broader cross functional goals across our go-to-market organisation. WHAT YOU’LL DO * Lead data science initiatives and workstreams for our Enterprise go-to-market motions, from opportunity discovery and problem framing through to delivery, adoption, and impact measurement. * Design, build, and productionise machine learning models and data products such as predictive scoring, clustering, forecasting, segmentation, recommendation, and prioritisation models. * Identify and shape high impact opportunities across retention, engagement, revenue growth, sales efficiency, customer lifecycle, and go-to-market performance. * Partner with Revenue Operations, Product Analytics, Analytics Engineers as well as senior business stakeholders and company leaders to align priorities and drive impact. * Set and evolve data science craft standards, including best practices for modelling, code quality, deployment, monitoring, documentation, automation, and responsible use of AI. * Mentor and guide data scientists, analysts, and cross functional partners, helping raise the quality and impact of data science work across the function. * Communicate recommendations and complex analyses in a way that influences decisions across different levels of the organisation. WE BELIEVE YOU HAVE * A minimum of 8+ years of relevant experience in data science, analytics, machine learning, or a closely related field. * A proven track record of leading data science projects or workstreams end-to-end, including problem framing, stakeholder alignment, technical delivery, adoption, and impact measurement. * Deep expertise in data science methodologies, with strong proficiency in Python, SQL, machine learning, statistics, and applied modelling. * Experience using AI tools such as Cursor, Claude, or similar to improve productivity, automation, and delivery quality. * Strong business acumen, with the ability to connect data science opportunities to strategic business objectives across sales, marketing, product, revenue operations, customer engagement, retention, or growth. * Experience navigating ambiguous or complex business problems, identifying the right analytical approach, and driving alignment across multiple teams. * Strong software and ML engineering practices, including git, code reviews, testing, versioning, monitoring, documentation, and writing performant, maintainable code for production use. * Experience setting or improving technical standards, best practices, reusable patterns, or ways of working within a data science, analytics, or engineering team. * Exceptional communication and stakeholder management skills, with experience in influencing senior stakeholders priorities and decisions through clear narratives, visualisations, and recommendations with clear business impact. * A track record of mentoring others, providing technical guidance, and fostering a culture of high standards, continuous learning, and collaboration. * Experience collaborating closely with data engineers or analytics engineers on data pipelines, model deployment, monitoring, and scalable data foundations. NICE TO HAVE * Familiarity with modern data tools such as Snowflake, Hex, dbt, or similar. * Experience with cloud platforms such as AWS or Google Cloud. * Experience working in a SaaS environment, especially with enterprise go-to-market, revenue, customer lifecycle, product usage, or retention data. * Experience influencing company-level priorities through data science, analytics, or strategic insight work. NOT REQUIRED * Swedish is not required (as daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities) * A traditional cover letter is not required as part of your application ---------------------------------------------------------------------------------------------------------------------------------- 📍 LOCATION: This is primarily an onsite role located at Mentimeter HQ in Stockholm, with a hybrid approach and ability to work from home up to twice per week. Please note that we do not offer visa relocation sponsorship for this position.   💡OUR RECRUITMENT PROCESS: 1. Introduction interview 2. Competence interview, including a live case. 3. Personality & Logical ability test 4. Culture interview 5. References & Offer ---------------------------------------------------------------------------------------------------------------------------------- Compensation:  At Mentimeter, we believe in fair and transparent compensation that grows with you. The salary range for this role is SEK 70,000–SEK 86,000 per month. It’s intentionally broad to reflect the different stages of growth within the role: from early development to deep expertise and meaningful impact. Where an individual is placed within the range depends on factors such as relevant experience, demonstrated skills, and alignment with the role’s requirements. We’re committed to supporting your growth. You’ll have ongoing development conversations with your manager, and your salary will evolve as you build skills and contribute to our mission. In addition to your monthly salary, we offer a comprehensive benefits package—learn more about it here: https://www.mentimeter.com/benefits/stockholm. What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. * AI does not screen or decide on candidates. *  There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. * Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.

Tide

ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: * Tide is available for UK, Indian, German and French SMEs * Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly * Over $300 million raised in funding * Over 2,800 Tideans globally * Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 * We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg   ABOUT TIDE At Tide, we are building a business management  platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. ABOUT THE TEAM: We’re looking for an experienced Backend Engineer with excellent programming skills and a passion for developing applications or improving existing ones, we would like to meet you.  As an Engineer at Tide, you’ll report directly to the Staff Engineer and work in a team of highly skilled Engineers. You’ll work closely with our tech team to ensure system consistency and improve user experience. Ultimately, you should be able to develop and maintain functional and stable web applications to meet both the company’s and our customer’s needs. We work in an agile fashion, small cross functional squads,  grouped under common domains owning the full lifecycle of some microservices in Tide’s service catalogue. You’ll bring new ideas, and become an integral part of the process of continuously improving our product.  Outside of working in your squad you will discuss technical challenges, in our different Communities of Practice. ABOUT THE ROLE: As a Senior Python Engineer you’ll be:  * Defining, owning and maintaining the services your team owns from our service catalogue that fall in one of our domains (you design it, you build it, you run it, you scale it globally) * Working with the product team to select technology partners * Work with backend engineers across multiple agile teams carefully dividing your time between design/refinement, implementation and mentoring other team members * Regularly aligning your team’s vision and roadmap with the target architecture within your domain and to ensure the success of complex multi domain initiatives  * Working closely with product owners, mobile & web engineers, data scientist and other business members to translate requirements into well-engineered solutions * Making key contributions to our Community of Practice. You will apply your extensive experience on our problem domain and existing guidelines to become a true beacon of best practices among your fellow engineers  * Career progression is as important to us as it is for you, and we, therefore, have put in place a Tide Growth Framework to guide you. With our expanding teams and business, we will encourage you to outgrow your initial responsibilities, if you so desire WHAT WE ARE LOOKING FOR: * Proven work experience as a Python Developer (working with this as a primary language) * Basic understanding of software engineering fundamentals (SOLID, ACID, Testing) * Hands-on experience with AWS and frameworks such as: Django, FastAPI and Flask * Extensive experience integrating with or creating REST APIs * (Desirable) Experience working with event driven microservice or message queues * (Desirable) An understanding of Salesforce integrations * Experience working in Scrum and following Agile development practises * Teamwork skills with a problem-solving attitude * You’re passionate about learning every day and sharing your knowledge and experience every day * Genuinely excited about supporting small businesses, in the UK and in global markets OUR TECH STACK: * Python * AWS (including Lambda, Fargate, EKS, SQS, SNS, SES and S3) * Postgres * Google BigQuery * Terraform * Sentry WHAT YOU’LL GET IN RETURN: * MELP - flexible benefit app * 25 days paid annual leave * 3 paid days off for volunteering or L&D activities * Parental Leave days * Family-Friendly Leave * Personal L&D budget * Mental wellbeing platform Plumm * WFH equipment allowance * Sabbatical Leave * Share options * Team Events TIDEAN WAYS OF WORKING: At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.  While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. #LI-NZ1 #LI-Remote    TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.  We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.   At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.   Disclaimer   It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: * Tide does not charge any fees at any stage of the recruitment process. * All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. * Communication from Tide will only come from an official @tide.co email address. * Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.   Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.