Senior Data Scientist, Revenue & Risk Analytics

New

ExtendRevenue and risk analytics

Remote, USFull-TimeSenior

Salary125,000 - 145,000 USD per year

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Job Details

Have 5+ years of experience in product data science or consulting, with an emphasis on strategic thinking and a track record of driving business impact.
Bring solid statistical foundations in experimentation, causal inference, forecasting, and modeling.
Have experience working with backend Product and Engineering teams to implement product roadmaps.
Have expert knowledge of SQL, Python, A/B testing, and Github.
Have hands-on experience with Snowflake and dbt, or close equivalents.
Hold an advanced degree in data science, analytics, economics, statistics, or a similar quantitative field.
Be intellectually curious and willing to think beyond the revenue organization and prioritize what is best for the business holistically.
Be empathetic, humble, collaborative, comfortable with ambiguity, and ready to take high ownership in a remote-first team.
Be excited about AI tools such as Claude and Gemini and eager to use them to complement your workflow.

Identify and own strategies across the revenue waterfall to grow and recover revenue with client-facing teams.
Build data-backed talk tracks and narratives to help Revenue optimize and grow existing partnerships.
Use testing, Monte Carlo simulations, and/or ML models to develop data insights.
Test optimization ideas, validate them with data, and make the case to Product and Engineering to implement them as features.
Own and improve existing data pipelines to support data analytics.
Define data structures and use advanced tracking methodologies to uncover revenue opportunities.
Set the standard for analytical thinking and excellence on the team.

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