Senior Data Scientist, Growth Marketing

Rocket Money
San Francisco, Washington, New York, Detroit, Miami, Phoenix, Denver
Workplace: OnsiteFull timeUSD 180,000 - 235,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Cross-team collaboration","Communication","Mentoring","Technical mentoring","Problem-solving"]

Drive marketing efficiency, attribution, and experimentation using customer lifetime value modeling, media mix attribution, and causal impact assessments. Lead end-to-end product scientific experimentation programs by building self-service tooling and processes for product and CRM experimentation. Design and run experiments, partner with data engineering/analytics to scale ML and data pipelines, and maintain high production quality through mentoring, reviews, and system architecture.

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FursaFursa
Rocket Money
Rocket Money
1 month ago

Senior Data Scientist, Growth Marketing

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Last checked: 12 hours agoStatus: Live

Job Summary

Drive marketing efficiency, attribution, and experimentation using customer lifetime value modeling, media mix attribution, and causal impact assessments. Lead end-to-end product scientific experimentation programs by building self-service tooling and processes for product and CRM experimentation. Design and run experiments, partner with data engineering/analytics to scale ML and data pipelines, and maintain high production quality through mentoring, reviews, and system architecture.
Location: San Francisco, Washington, New York, Detroit, Miami, Phoenix, Denver
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build next-generation customer lifetime value models and integrate them into marketing portfolio decision-making and optimization.
  • •Support marketing effectiveness measurement and estimation approaches.
  • •Lead projects end to end by making implementation and scope decisions while balancing technical and business goals and partnering with stakeholders to drive operational change.
  • •Design and conduct experiments for marketing and product strategies, and scale a systematic experimentation program across product and marketing.
  • •Partner with data engineering and analytics to create scalable, durable ML-to-data pipelines that enable experimentation operations, and maintain production quality through mentoring and code reviews.

Pay and Benefits

Salary: USD 180,000 - 235,000 annually
Perks:Health InsuranceDentalVisionLife Insurance401kPaid Leave

Key Requirements

  • •6+ years of professional experience in data science with proficiency in SQL, at least one scripting language, statistical modeling, and scalable experimentation engineering.
  • •Experience building production-grade tooling used operationally by internal decision-makers for marketing and product strategy.
  • •Experience collaborating with engineering teams to design feedback signals between applications and ad networks or build experimentation platforms.
  • •Ability to collaborate cross-team and communicate technical insights to drive marketing strategy and operational alignment.
  • •Deep experience in customer segmentation, customer lifetime value modeling, A/B testing and causal inference, and media mix modeling.
Experience:6+ yearsFintechBankingFinance
Skills:Cross-team collaborationCommunicationMentoringTechnical mentoringProblem-solving
Languages:English
Tech Stack:SQL

Company Brief

Rocket Money
Provides a personal finance app that helps users track spending, manage subscriptions, automate savings, and lower bills through budgeting tools and financial insights to simplify everyday money management.
Industry: Neobanking
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Los Angeles, United States
Founded: 2015
WebsiteLinkedIn