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À propos de ce poste Sr. Data Scientist I - User Growth chez Rocket Companies

Rocket Companies · Sur site · Seattle, WA

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. 

Redfin is one of the most recognized names in residential real estate, a technology-powered brokerage and search platform that has spent two decades reshaping how people find, tour, buy, sell, and rent a home. Millions of people start their housing search on Redfin every month. Together, Redfin and its Rentals network, including Rent. and ApartmentGuide, reach more than 50 million monthly visitors across the housing market.

Redfin is now part of Rocket Companies (NYSE: RKT), joining Rocket Mortgage, Mr. Cooper, Rocket Homes, Rocket Close, Rocket Money, and Rocket Loans in a single connected ecosystem spanning search, financing, closing, servicing, and everyday personal finance. That combination puts Redfin at the front of the largest homeownership platform in the country, and gives its product teams a view of the client journey that no standalone portal or brokerage can match. 

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. 

 

About us 

Redfin is a technology-driven real estate company with the country's most-visited real estate brokerage website. As part of Rocket Companies (NYSE: RKT), Redfin is creating an integrated homeownership platform from search to close to make the dream of homeownership more affordable and accessible for everyone. Redfin’s clients can see homes first with on-demand tours, easily apply for a home loan with Rocket Mortgage, and save thousands in fees while working with a top local agent.

 

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time.  Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law.  The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws.  Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com. 

 

The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $127,600 - $161,100. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.

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Comment se compare ce salaire pour Data Scientist

Ce poste paie $144,350/yr — en dessous de la fourchette habituelle pour les postes Data Scientist.

$154,660 la médiane $202,000 $332,500

Fourchette typique $173,750–$241,508/yr, à partir de 39 annonces Data Scientist comparables sur JobsRadar (rémunération annualisée en USD). Voir les aperçus de salaire pour Data Scientist →

À propos de Rocket Companies

As part of the ecosystem of Rocket® we transform talented candidates into passionate team members who thrive in our world of opportunities. Join us in our mission to shape the future of our industries and make a lasting impact in our communities and beyond .

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