Product Data Scientist - Growth

Gusto Gusto · Fintech · New York, NY +1 · Data

This role focuses on leveraging experimentation, statistical inference, and causal analysis to drive strategic decisions for customer acquisition, retention, and growth. The data scientist will work closely with cross-functional teams, shape analytical strategy, drive execution of analytical roadmaps, and push the boundaries of statistical modeling and AI-assisted analytics. While AI tools are used and integrated, the core function is product growth strategy and analysis, not direct AI/ML model development.

What you'd actually do

  1. Shape the analytical strategy for Growth product initiatives.
  2. Drive and execute on org-level analytical roadmaps that shape company strategy, leveraging AI tools and creating efficiencies through AI native approaches.
  3. In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org-wide decision quality in an AI native capacity.
  4. Serve as a trusted advisor to senior product, engineering, and Revenue business leaders.
  5. Push the boundaries of statistical modeling, experimentation, and AI-assisted analytics.

Skills

Required

  • 7 - 10+ years of experience in Data Science at a product-focused software company.
  • Strong SQL and Python skills.
  • Proven ability to apply statistical methods, causal inference, and experimental design to real business problems.
  • Demonstrated experience leveraging AI tools like Claude, and executing work in an AI native way.
  • Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership.
  • Demonstrated experience leading large, technically complex projects with clear business impact.
  • A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights.
  • BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience.

Nice to have

  • Experience developing Machine Learning models is a plus.
  • Passion for mentoring others and raising the bar for data science craft across the team.

What the JD emphasized

  • AI tools like Claude
  • AI native way
  • AI-assisted practices
  • AI native approaches
  • AI native capacity
  • AI-assisted analytics