5+ years of experience in Data Science with consumer-facing products
3+ years of hands-on statistical modeling experience using Python and/or R
Deep expertise in experimentation and causal inference methods
Strong statistical modeling skills including regression and forecasting
Expert-level SQL skills and proficiency in data analysis and visualization
Practical use of AI tools in analytics workflows
Excellent communication and collaboration skills
Bachelor's degree in a quantitative field; advanced degree preferred
Responsibilities
Translate ambiguous business questions into actionable analyses
Develop behavioral segmentation frameworks and user profiles
Design and evaluate user-level A/B tests and multivariate experiments
Apply causal inference methods to evaluate product and marketing impacts
Build statistical and forecasting models to anticipate user behavior
Collaborate with Product, Engineering, and business leaders to identify opportunities
Communicate actionable recommendations to influence stakeholders
Benefits
Comprehensive health and wellness benefits for employees and their families
Support for individual needs to promote work-life balance
Access to perks that enhance overall well-being
Commitment to employee growth and development
A supportive team environment that prioritizes mental and physical health
Full Job Description
This posting will be open until November 30, 2026. Applications received after this date may not be considered.
This role is a hybrid opportunity for candidates to work in office on Tuesdays and Wednesdays from our Seattle or Detroit offices and work remotely all other days. We can consider highly qualified candidates on a remote only basis who reside outside of these three areas As a Senior Data Scientist on Redfin's Growth Analytics team, you'll leverage rich website and app behavioral data to uncover insights that drive user acquisition, engagement, retention, conversion, and business growth. You'll analyze how users interact with Redfin across buyer, seller, renter, and mortgage journeys; identify customer needs and conversion drivers; measure the impact of business initiatives; and partner with Product and Engineering to shape Redfin's growth strategy.
About the role
Solve complex problems: Translate ambiguous business questions into actionable analyses that inform growth strategy and business decisions.
Understand user behavior: Develop behavioral segmentation frameworks and user profiles to understand customer needs and uncover drivers of retention and conversion.
Lead experimentation and measurement: Design and evaluate user-level A/B tests, multivariate experiments, and market-level tests. Establish experimentation best practices, measurement frameworks, success metrics, and guardrails.
Measure incremental impact: Apply causal inference methods to evaluate the impact of product changes, marketing initiatives, and business strategies.
Develop predictive models: Build statistical and forecasting models to anticipate user behavior and estimate business outcomes.
Partner and influence: Collaborate with Product, Engineering, and business leaders to identify opportunities, diagnose performance issues, and communicate actionable recommendations.
About you
5+ years of experience in Data Science, working with product and user data, with a track record of driving measurable impact for consumer-facing products at scale.
3+ years of hands-on statistical modeling experience using Python and/or R.
Deep expertise in experimentation and causal inference, including A/B and multivariate testing, experimental design, power and sample size calculations, guardrails, sequential testing, incrementality measurement, and quasi-experimental methods.
Strong statistical modeling skills, including regression, user segmentation, and forecasting, with the ability to apply appropriate methods to complex business problems.
Expert-level SQL skills and strong proficiency in data analysis, Excel, and data visualization. Experience with Tableau, Python-based data processing and ETL is preferred.
Demonstrated practical use of AI tools in analytics workflows, with examples of measurable improvements in analytical speed, quality, or productivity.
Excellent communication and collaboration skills, with the ability to translate complex analyses into compelling business narratives, influence senior stakeholders, and build consensus across cross-functional teams.
Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field; advanced degree preferred.
What you'll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.
