Senior Data Scientist

Overview

Senior Data Scientist, Product is a senior individual contributor embedded with Product, Engineering, and Design to drive product analytics, experimentation, and data-informed strategy.

What you'll do

• Run deep-dive analyses across the product funnel (onboarding, KYC, funding, trading) to find growth opportunities.
• Design and build experimentation tooling, frameworks, and guardrails for trustworthy A/B tests and causal-inference studies.
• Define and maintain key product performance metrics and partner on governed, scalable metrics and dashboards.
• Partner cross-functionally across Product, Engineering, Design, Finance, and Operations to integrate data-driven decision-making into product development.
• Create data visualizations and narratives to communicate insights and recommendations to stakeholders.
• Help operationalize analytics by transitioning ad-hoc requests into self-serve environments and contribute to text-to-analytics.
• Mentor other data scientists and analysts and contribute to best practices and standards.

What you'll need

• 6–10 years of experience developing and deploying predictive models.
• Strong product analytics background with statistical analysis and experimentation.
• Experience building experimentation tooling and frameworks for A/B tests and causal-inference analyses.
• Programming skills in Python and SQL (or other relevant languages).
• Ability to visualize data using data visualization tools and techniques.
• PhD or master’s degree in a quantitative field (mathematics, statistics, engineering, economics, or natural sciences).

Details

• Work mode: Remote (Americas).