Senior Data Scientist, Growth Product

Responsibilities

• Partner with Growth Product and Engineering to drive measurable impact across acquisition, conversion, direct deposit, engagement, and long-term retention.
• Act as an independent thought partner to Product, Engineering, and Design, shaping strategy and identifying opportunities and risks.
• Develop experimentation and A/B testing programs, including metric creation, experiment design, power analysis, and results analysis.
• Equip product managers and engineers with self-service analytics tools and conduct ad hoc analyses and causal studies.
• Apply causal inference, time-series analysis, forecasting, and occasional machine learning methods such as customer segmentation.
• Build metrics for user funnels, product engagement, and retention.
• Establish high-quality event tracking for detailed user behaviors across customer journeys in the mobile app.
• Develop team metrics and operational dashboards to track business and product health.
• Translate complex analytical findings into executive-ready narratives.
• Develop robust data pipelines in dbt and improve customer data quality and accessibility.

Requirements

• 5–7 years of relevant hands-on experience in product or business analytics; FinTech experience is a plus.
• Expert-level SQL and proficiency in Python.
• Knowledge of applied statistics, experimental design, and A/B test analysis.
• Experience applying machine learning techniques to business use cases.
• Experience advising senior cross-functional partners and influencing decisions through data and judgment.
• Strong proactive problem-discovery, business intuition, and prioritization skills.
• Exceptional data storytelling and data visualization abilities.
• Experience with Hex and Looker.
• Familiarity with data pipelines using dbt or Airflow.
• Familiarity with AI coding tools such as Claude Code and Cursor.

Compensation and Benefits

• Base salary: $133,000–$185,000.
• Full-time employees are eligible for a bonus, competitive equity package, and benefits.
• Benefits include health, financial, and wellbeing programs; generous vacation and paid days off; commuter benefits; backup care; wellness stipend; and paid parental leave.
• The in-office policy generally includes four days per week in the office and Fridays from home for employees near an office; fully remote options may be available depending on program and location.