Senior Data Scientist

Who you are

• 5+ years in product data science or consulting with a strong emphasis in strategic thinking and a track record of driving business impact
• Solid statistical foundations: experimentation, causal inference, forecasting, and modeling
• Previous experience working with backend Product and Engineering teams on implementing product roadmaps
• Expert knowledge of SQL, Python, A/B testing, and Github, with hands-on Snowflake and dbt (or close equivalents)
• Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically
• Empathetic, humble, and collaborative, with comfort in ambiguity and high ownership in a remote-first team
• Excited about AI tools (Claude, Gemini, etc.) and eager to use them to complement your workflow
• Advanced degree in data science, analytics, economics, statistics or similar quantitative field

What the job involves

• Revenue optimization and risk mitigation: Own and identify innovative new strategies across the entire revenue waterfall to grow and recover revenue together with client-facing teams
• Storytelling for client-facing teams: Build talk tracks and narratives for Revenue to continuously optimize and grow existing partnerships, backed by data insights from testing, Monte Carlo simulations, and/or ML models
• Influence the product roadmap: Test optimization ideas, prove they work with data, and make the case to backend Product and Engineering teams to turn them into features that change how the company makes money
• Data Infrastructure: Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities
• Role Model: Set the standard for the team in terms of analytical thinking and excellence