Growth Product Scientist: Data-Driven Growth & Experiments

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 109,000 - 150,000; Full time

Job summary

United States Digital Space LLC is seeking a Growth Product Scientist to partner with Growth Product and Engineering teams to drive measurable impact across the member journey. You will own funnels end-to-end, design and analyze A/B tests, and translate ambiguous business questions into prioritized recommendations that ship.

The role involves working with product managers, design, engineers, and marketing to foster a data-driven development culture, advise roadmaps, and understand member

Qualifications

• 3-5 years of relevant hands-on experience in product or business analytics roles (FinTech a plus).
• Expert-level SQL ability and proficiency in Python.
• Hands-on experience designing and analyzing A/B tests; solid grasp of statistical concepts (significance, power, sample size, common pitfalls)
• Demonstrated experience acting as a trusted advisor to senior cross-functional partners — influencing decisions through both data and judgment.
• A strong bias toward proactive problem discovery. You don’t wait for tickets — you explore data, spot patterns, and bring forward opportunities that meaningfully change product direction.
• Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).
• Strong written and verbal communication; able to translate technical concepts to non-technical stakeholders
• Familiarity with building data pipelines using tools like dbt or Airflow.
• Familiarity with AI coding tools (such as Claude Code and Cursor).
• Located within commuting distance from our downtown San Francisco headquarters, and able to work in-office with our team 4 days per week.

Responsibilities

• Partner with Product Managers, Engineers, Designers, and Marketers on growth initiatives spanning acquisition, onboarding, activation, and retention.
• Design, run, and analyze A/B tests to improve member product experiences, including metric creation, experiment design, power analysis, and analysis of experiment results.; develop frameworks to prioritize the highest-leverage experiments
• Drive data-informed decision making within Growth org by equipping PMs and engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team.
• Use advanced statistical methods for causal inference, as well as time-series and other forecasting techniques, to solve product questions for the team. Occasionally apply machine learning methods for problems such as customer segmentation.
• Build and maintain dashboards, KPIs, and self-serve tooling that give the team a clear view of funnel health
• Help the team establish high-quality eventing to allow the tracking of detailed user behaviors along customer journeys through the company’s mobile app.
• Translate complex analyses into clear narratives and recommendations for product and executive audiences
• Collaborate with Data Engineering to improve the quality, accessibility, and trustworthiness of growth datasets

Skills

SQL

Python

A/B testing

Data analysis

Tools

dbt

Airflow

Job description

United States Digital Space LLC is seeking a Growth Product Scientist to partner with Growth Product and Engineering teams to drive measurable impact across the member journey. You will own funnels end-to-end, design and analyze A/B tests, and translate ambiguous business questions into prioritized recommendations that ship.

The role involves working with product managers, design, engineers, and marketing to foster a data-driven development culture, advise roadmaps, and understand member