Senior Data Scientist, Growth Marketing

This is a fully remote position, open to applicants in Arizona, +6 more states.

📋 Description

• Develop customer lifetime value models for Rocket Money, incorporating them into marketing portfolio decision-making and optimization.

• Assist in measuring and estimating internal marketing effectiveness.

• Oversee projects from initiation to completion, making implementation and scope decisions while balancing both technical and business objectives.

• Design and execute experiments to assess the impact of marketing and product strategies.

• Spearhead a structured marketing and product experimentation initiative.

• Contribute to product experimentation by providing expert design, evaluation, and collaboration with product managers.

• Collaborate with data engineering and analytics teams to create scalable machine learning and data analytics pipelines.

• Create and deliver internal predictive tools through ongoing measurement, analysis, modeling, and hypothesis testing.

• Mentor team members, engage in code reviews, and ensure the quality of production systems.

• Design and architect predictive feedback mechanisms for digital advertising networks.

• Implement new features for Rocket Money’s proprietary experimentation engine.

• Propel operational enhancements using innovative marketing data science technologies.

• Establish scalable experimentation methodologies and tools for the broader data team.

⛳️ Requirements

• A minimum of 6 years of professional experience in data science.

• Strong proficiency in SQL.

• Expertise in at least one scripting language.

• Experience in statistical modeling.

• Proven experience in engineering scalable experimentation solutions.

• Direct experience in creating production-grade tools for operational use by teams of internal decision-makers.

• Familiarity with using experimental and observational data to inform marketing and product strategies.

• Experience in developing tools that implement marketing and product strategies at a tactical level.

• Background in designing optimal feedback signals between applications and ad networks or in building experimentation platforms.

• Demonstrated ability to collaborate across teams and convey technical insights effectively.

• Exceptional writing, presentation, and communication abilities.

• Extensive professional experience in areas such as customer segmentation, customer lifetime value modeling, A/B testing and causal inference, and media mix modeling.

• Experience in the fintech, banking, or finance sectors is a plus.

🏝️ 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).

• Bonus.