Senior Data Scientist, Lifecycle

Thumbtack

THUMBTACK HELPS MILLIONS OF PEOPLE CONFIDENTLY CARE FOR THEIR HOMES. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. ABOUT THE DATA SCIENCE TEAM The Data Science team empowers Thumbtack to use data to guide business decisions. We collaborate with partners across the company to solve the most analytically challenging problems — everything from informing how we set prices across almost a thousand local services categories, to evaluating the impact of a new business model on company performance, to identifying early predictors of high-quality customers. We are a tight-knit, intellectually curious team committed to improving Thumbtack and improving each other. ABOUT THE ROLE As a data scientist on the experience led growth team, you will partner with a world-class cross-functional team — lifecycle marketers, product managers, engineers, and applied scientists— to build the analytical foundation that powers Thumbtack’s full lifecycle strategy for both homeowners and pros. This is a high-ownership role at the intersection of measurement, product analytics and applied science, where you will shape how Thumbtack thinks about engagement across the entire customer and pro journey. You will be embedded in the Lifecycle Center of Excellence (COE), which is expanding its mandate from homeowner lifecycle to include pro lifecycle. The team’s priorities span personalized contextual communications, in-app lifecycle experiences, and the foundational data infrastructure and tooling needed to deliver these at scale — including end-to-end funnel reporting, self-serve analytics tooling, and measurement frameworks that cover the full lifecycle. You will use your technical leadership to identify opportunities across both homeowner and pro lifecycle, develop a unified view of engagement on the Thumbtack platform, and partner with data engineering to build the data infrastructure that enables the team to move faster. You will be leading long-term initiatives with significant ambiguity, exercising independent judgment, and influencing senior cross-functional partners with the implications of your work.   WHAT YOU’LL DO * Build the Lifecycle measurement framework — define lifecycle health metrics for both homeowner and pro, design experiments with appropriate rigor, and navigate attribution and contamination challenges in ambiguous measurement contexts. * Build relationships with cross-functional teams across pro and homeowner lifecycle. Understand strategic challenges and contextualize them to use data to unlock new growth levers and inform product roadmap. * Synthesize evidence across data sources to produce insights that shift senior leaders’ mental models — going beyond what happened to explain why and what to do next across the full pro and customer lifecycle; provide analytical rigor for the evolution toward intelligent, customer-centric decisioning and personalization. * Serve as the tech lead for the Lifecycle — influence senior cross-functional partners, drive pillar-level alignment through insights and partnership. Be opinionated about strategic decisions and trade-offs based on your deep domain knowledge. * Continue to evolve workflow automation and self-serve. Discovering new ideas, implementing POCs and coaching fellow DS team members.   IN ORDER TO BE SUCCESSFUL, YOU MUST BRING * Bachelor’s or Master’s degree in Statistics, Math, Economics, Computer Science, or another STEM field. * 5+ years of experience in a highly analytical role, with strong proficiency in SQL and Python for working with large, complex datasets. * Cultivated a reputation as a trusted advisor to senior leadership and diverse cross-functional teams esp. managing non-technical stakeholders, leveraging insights to build consensus and influence strategy across product, marketing, and engineering, successfully influencing without direct authority. * Proven track record of independently leading long-term, ambiguous analytical initiatives with measurable business impact — not just executing defined analyses but scoping and shaping the work. * Deep expertise in experimental design, causal inference, and statistical methods — with the ability to navigate ambiguity in measurement contexts and communicate uncertainty clearly to non-technical stakeholders. * Experience building data products — dashboards, self-service tools, or reusable analytical frameworks — that scale beyond your immediate team. * Strong business acumen and ability to connect data findings to lifecycle strategy, making crisp prioritization recommendations under uncertainty.   EXPECTED SALARY RANGES * For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $202,300.00 - $261,800.00. * For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $181,900.00 - $235,400.00. * For candidates living in all other US locations, the expected salary range for this role is currently $171,700.00 - $222,200.00. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com. For information about how Thumbtack collects, uses, and shares personal information about job applicants, please see our Job Applicant Privacy Policy. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes.

AB InBev

About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.   About BEES BEES, our ambition is – and always will be – to put customers at the heart of everything we do. Making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers and the companies that service them, unlocking new growth opportunities for all. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year. The Team: BEES is the team driving AI strategy at BEES by building end-to-end products to serve our teams, customers, and partners across the globe. The organization is a cross-functional blend of AI/ML teams from Applied Research and Machine Learning Engineering to Machine Learning Platform Product Management. Together, the team is responsible for building the tools and products needed to deliver world-class AI/ML capabilities.  As a member of the BEES Fintech Data Science team, you will develop data-driven solutions for credit risk, underwriting, portfolio optimization, pricing, and decisioning systems that operate at scale and directly impact real-time credit decisions. What you'll do: * Be part of a high-impact fintech data science team building ABIs credit models, credit decisioning systems, and ML-powered infrastructure that drive billions of dollars in credit transactions annually for millions of users worldwide. * Design, develop, and deploy statistical and machine learning models across the full lifecycle — from research and experimentation to production — with a focus on credit risk, underwriting, portfolio optimization, and experimentation. * Write a substantial amount of production-grade code while conducting deep analytical and statistical research, translating theory into practical improvements in live credit systems. * Lead and contribute to experimentation and model evaluation (offline analysis, simulations, and online tests), ensuring models are robust, explainable, and aligned with regulatory, risk, and business constraints. * Work with industry-leading technologies and modern ML platforms, building scalable modeling and data workflows that operate reliably at global scale. * Collaborate closely with exceptional engineers, product managers, analysts, and business stakeholders. * Continuously explore and adopt state-of-the-art methods in statistics, machine learning, and optimization, raising the technical bar and shaping best practices across the fintech data science organization. What you'll need: * Strong foundation in mathematics and statistics. * Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD a plus. * Experience or strong familiarity with experimentation frameworks, model validation, and rigorous evaluation, ideally in high-stakes decision systems. * Proven ability to apply machine learning and statistical models in production, balancing accuracy, stability, explainability, and real-world constraints. * Proficiency in Python for analysis, modeling, and production workflows; experience with distributed data processing (e.g., Spark / PySpark) is a plus. * Experience with modern ML development practices, including version control, CI/CD, and reproducible research and modeling workflows. * Strong proficiency using AI coding agents and developer tools in a controlled, thoughtful, and production-oriented way to accelerate development without compromising quality. * Creative, curious, and independent thinker who challenges assumptions, proposes novel approaches, and reasons deeply about complex systems. * Excellent communication skills, able to clearly explain complex models and results to both technical and non-technical audiences. What We Offer: * Performance based bonus* * Attendance Bonus*  * Private pension plan * Meal Allowance * Casual office and dress code * Days off* * Health, dental, and life insurance * Medicines discounts * WellHub partnership * Childcare subsidies * Discounts on Ambev products* * Clube Ben partnership * Scholarship* * School materials assurance * Language and training platforms * Transport allowance *Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.  For more information: www.abinbev.com

AB InBev

About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. About BEES At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all. The BEES AI organization drives data science and machine learning strategy across customer-facing products, logistics, fintech, and operations. We build end-to-end intelligent systems that optimize commercial execution, improve customer engagement, and enhance operational efficiency at global scale. As a member of the BEES Frontline Data Science team, you will develop data-driven solutions that power sales force effectiveness, customer coverage strategies, and execution consistency across markets. What you'll do: * Be part of a high-impact data science team building intelligent systems that support sales execution and customer engagement at a global scale. * Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle — from research and experimentation to production — focusing on customer segmentation, visit planning, and execution strategy. * Apply advanced techniques such as statistical modeling, clustering, optimization, and model explainability to generate actionable insights and improve decision-making. * Translate complex commercial and operational problems into scalable data science solutions, incorporating business rules, constraints, and edge cases. * Lead and contribute to experimentation and performance evaluation, ensuring models are robust, interpretable, and aligned with business objectives. * Write production-grade code and build reusable data and modeling pipelines that operate reliably at scale. * Collaborate closely with engineers, product managers, operations teams, and business stakeholders to ensure solutions are effectively integrated into frontline tools and processes. * Drive technical excellence by exploring and applying state-of-the-art methodologies in machine learning, optimization, and analytics. * Ensure model transparency and trust by leveraging explainability techniques and clearly communicating model behavior and trade-offs to stakeholders.  What you'll need: * Strong foundation in mathematics, statistics, and problem-solving. * Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD is a plus. * Proven experience applying machine learning, clustering, optimization, or advanced analytics to real-world problems in production environments. * Experience with complex systems involving uncertainty, business constraints, and large-scale structured and unstructured data. * Proficiency in Python for data analysis, modeling, and production workflows; experience with distributed processing (e.g., Spark / PySpark) is a plus. * Familiarity with at least one of the following domains: customer analytics, route-to-market strategy, or commercial operations. * Experience with model explainability techniques (e.g., SHAP, feature importance, dimensionality reduction methods such as PCA) and interpreting model outputs for business use. * Experience with experimentation frameworks, model validation, and performance monitoring. * Strong understanding of software engineering best practices, including version control, CI/CD, and reproducible workflows. * Ability to work with ambiguity, challenge assumptions, and translate complex business needs into structured analytical solutions. * Excellent communication skills, with the ability to explain complex models, trade-offs, and insights to both technical and non-technical audiences. What we offer  • Performance-based bonus*  • Attendance bonus*  • Private pension plan  • Meal allowance  • Casual office and dress code  • Days off*  • Health, dental, and life insurance plans  • Discounts on medications  • Partnership with WellHub  • Childcare assistance  • Discounts on Ambev products*  • Clube Ben partnership  • Scholarship program*  • School supplies support  • Language learning platforms and training  • Transportation allowance  *Applicable rules apply.