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Senior Data Scientist – User Growth
Rocket Mortgage. Translate ambiguous business questions into actionable analyses that inform growth strategy and business decisions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in Data Science with a focus on statistical modeling, experimentation, and causal inference to drive growth strategies and business decisions. Proficient in analyzing user behavior and developing actionable insights through advanced data analysis techniques.
Highest-signal resume keywords
Statistical ModelingA/B TestingCausal InferenceSQL ProficiencyData Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModelingA/B TestingCausal InferenceRegression AnalysisUser SegmentationForecastingPythonRExcelData Visualization
Soft Skills
CommunicationCollaboration
Tools & Technologies
TableauPython-based Data ProcessingETL
Industry Keywords
Data ScienceConsumer-facing ProductsBehavioral SegmentationExperimental DesignIncrementality Measurement
Tech Stack
Tools & technologiesETLPythonSQLTableau
About the role
Key responsibilities & impact- 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
- Analyze website and app behavioral data across buyer, seller, renter, and mortgage journeys
- Identify customer needs and conversion drivers
- Measure the impact of business initiatives
- Collaborate with Product, Engineering, and business leaders to identify opportunities and diagnose performance issues
- Communicate actionable recommendations and influence growth strategy
Requirements
What you’ll need- 5+ years of experience in Data Science working with product and user data
- 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
- Expert-level SQL skills
- Strong proficiency in data analysis, Excel, and data visualization
- Experience with Tableau, Python-based data processing and ETL preferred
- Demonstrated practical use of AI tools in analytics workflows, with measurable improvements in analytical speed, quality, or productivity
- Excellent communication and collaboration skills
- Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field
- Advanced degree preferred
Benefits
Comp & perks- Annual bonus eligibility
- Incentives
- Medical benefits
- Dental benefits
- Vision benefits
- 401K retirement plan
- Paid time off
- Health and well-being support for team members and their families
- Reasonable accommodations for qualified individuals with disabilities