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