Senior Data Scientist (Revenue & Risk Analytics)

Join our team as a Senior Data Scientist specializing in Revenue & Risk Analytics. In this role, you will be responsible for developing innovative strategies to optimize revenue and mitigate risk, creating compelling narratives for client-facing teams, influencing the product roadmap, and improving data infrastructure. You should have at least 5 years of experience in product data science or consulting, a strong background in strategic thinking, and a passion for using AI tools.

- Identifying innovative strategies to grow and recover revenue, and collaborating with client-facing teams. - Building narratives and talk tracks for Revenue, using data insights to optimize and grow partnerships. - Testing optimization ideas and making the case to Product and Engineering teams to turn them into features.

- 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