[Hiring] Senior Data Scientist @Rocket Money

Role Description

Rocket Money is looking for a Senior Data Scientist to drive marketing efficiency, attribution, and experimentation efforts through the use of tools like customer lifetime value modeling, media mix attribution modeling, and causal impact assessments of marketing strategies. This role will also lead product scientific experimentation program efforts, including building tooling and processes for self-service product and CRM experimentation.

• Build the next generation of Rocket Money’s customer lifetime value models and integrate into the operational decision making and optimization of our marketing portfolio.
• Support internal marketing effectiveness measurement and estimation approaches.
• Be responsible for leading projects from start to finish — making key decisions on both implementation and scope while balancing technical and business goals and working with stakeholders to implement operational change.
• Design and conduct experiments to estimate the impact of marketing and product strategies.
• Create scale by leading 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 that enable marketing and product experimentation operations.
• Optimize to continuous product feedback loops — you understand that data product development is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing.
• Maintain a high technical bar by mentoring other members, participating in code reviews, and ensuring 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.
• Create scalable approaches and tooling that allow others on the data team to undertake product experimentation without your direct input.

Qualifications

• 6+ years of professional experience in data science, with proficiency in SQL, at least one scripting language, statistical modeling, and engineering scalable experimentation solutions.
• Direct experience building production grade tooling for operational use by teams of internal decision makers.
• Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms.
• Excellent writing, presentation, and communication skills.
• 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 is a plus.

Requirements

• Team player with a proven ability to collaborate across teams and communicate technical insights effectively.
• Focus on solving business problems rather than publications.
• Desire for a deep understanding of context and business impact.
• Ability to document, solicit feedback, and secure alignment among collaborators.

Benefits

• 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)