Sr. Data Scientist I - User Growth

Rocket Mortgage•Seattle, WA

23h•Hybrid

About The Position

As a Senior Data Scientist on Redfin’s Growth Analytics team, you will use website and app behavioral data to uncover insights that drive user acquisition, engagement, retention, conversion, and business growth. You will analyze user interactions 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. The role involves translating ambiguous business questions into actionable analyses, developing behavioral segmentation frameworks and user profiles, leading experimentation and measurement, applying causal inference to measure incremental impact, and building predictive and forecasting models. You will work with Product, Engineering, and business leaders to identify opportunities, diagnose performance issues, and communicate recommendations. This is a hybrid role, with in-office work on Tuesdays and Wednesdays in the Seattle or Detroit offices and remote work on other days. Highly qualified candidates residing outside the specified areas may be considered for fully remote work. The posting is open until November 30, 2026. Compensation is $127,600–$161,100, with possible eligibility for an annual bonus, incentives, and other employment-related benefits.

Requirements

At least 5 years of Data Science experience working with product and user data, with a track record of measurable impact for consumer-facing products at scale.
At least 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.
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, including 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.

Nice To Haves

Experience with Tableau.
Experience with Python-based data processing and ETL.
An advanced degree.

Responsibilities

Translate ambiguous business questions into actionable analyses that inform growth strategy and business decisions.
Develop behavioral segmentation frameworks and user profiles to understand customer needs and uncover drivers of retention and conversion.
Design and evaluate user-level A/B tests, multivariate experiments, and market-level tests.
Establish experimentation best practices, measurement frameworks, success metrics, and guardrails.
Apply causal inference methods to evaluate the impact of product changes, marketing initiatives, and business strategies.
Build statistical and forecasting models to anticipate user behavior and estimate business outcomes.
Collaborate with Product, Engineering, and business leaders to identify opportunities and diagnose performance issues.
Communicate actionable recommendations and influence growth strategy.