Senior Data Scientist, Decisions

• Lead internal marketing effectiveness measurement and estimation approaches
• Lead projects from start to finish
• Design and conduct experiments to estimate the impact of marketing and product strategies
• Lead a systematic marketing and product experimentation program
• Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers
• Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines
• Build, test, and deliver internal facing predictive tools
• Effectively design and assess experiments for a variety of user facing experiences
• Mentor other members, participate in code reviews, and ensure quality in production systems
• Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine
• Drive operational changes in marketing that are cutting edge
• Create scalable approaches and tooling that allow others on the data team to undertake product experimentation
• Collaborate closely with Product, Marketing, and Engineering teams to define marketing measurement and optimization strategy
• Build the next generation of Rocket Money’s customer lifetime value models
• Level up our product experimentation program
• Rigorously design experiments to assess the effectiveness of product experiences
• Reassess baseline approaches and strategies
• Create tooling to enable self-service experimentation by teams of data analysts

• 6+ years of professional experience in data science
• Proficiency in SQL
• Proficiency in at least one scripting language
• Proficiency in statistical modeling
• Proficiency in engineering scalable experimentation solutions
• Expert level experiment design and assessment skills
• Direct experience building production grade tooling for operational use by teams of internal decision makers
• Experience driving marketing and product strategy with experimental and observational data
• Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms
• Proven ability to collaborate across teams and communicate technical insights effectively
• Deep experience in several of the following in a professional capacity: customer segmentation, customer lifetime value modeling, A/B testing and causal inference, media mix modeling

Experience in fintech, banking, or finance

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)
• Bonus