Senior Growth Marketing Data Scientist - ML & Experiments

Truebill; United States; Remote; USD 180,000 - 235,000; Full time

Benefits offered by this job

Life Insurance

Long/Short Term Disability

401k Matching

Team Member Stock Purchasing Program (

Daily Lunch, Snacks & Coffee

Commuter benefits

Competitive Pay

Job summary

Rocket Money is seeking a Senior Data Scientist to drive marketing efficiency, attribution, and experimentation. You will build lifetime value models, support measurement approaches, and lead end-to-end projects balancing technical and business goals.

You will design experiments, develop scalable ML pipelines, and collaborate with product and engineering teams to improve customer engagement and growth strategies.

Qualifications

• 6+ years of professional experience in data science.
• Proficiency in SQL and at least one scripting language.
• Strong background in statistical modeling and experimentation.
• Experience building production-grade tooling for decision making.
• Ability to drive marketing and product strategy with data.

Responsibilities

• Build customer lifetime value models and integrate into decision making.
• Support marketing effectiveness measurement and estimation approaches.
• Lead projects from start to finish balancing technical and business goals.
• Design and conduct experiments for marketing and product strategies.
• Collaborate with data engineering to build scalable ML/data pipelines.
• Mentor teammates and contribute to production quality.
• Architect predictive feedback mechanisms for ad networks and experimentation engine.

Skills

SQL

Scripting language

Statistical modeling

Experimentation

Marketing analytics

Communication

Team collaboration

Tools

Experimentation platforms

ML pipelines

Job description

Rocket Money is seeking a Senior Data Scientist to drive marketing efficiency, attribution, and experimentation. You will build lifetime value models, support measurement approaches, and lead end-to-end projects balancing technical and business goals.

You will design experiments, develop scalable ML pipelines, and collaborate with product and engineering teams to improve customer engagement and growth strategies.