Senior Data Scientist, Revenue & Risk Analytics

Role overview Use data science to identify and deliver strategies that grow revenue and reduce risk. This senior, cross-functional role spans analysis, experimentation, modeling, and data infrastructure, with work ranging from designing commercial programs to shaping product changes. The role calls for sound technical judgment and the ability to connect findings to decisions and business outcomes.

Responsibilities - Identify and own strategies to increase or recover revenue while managing risk across the revenue lifecycle. - Develop data-backed narratives and recommendations for teams working with business partners, using experiments, simulations, or machine learning where appropriate. - Test optimization ideas, demonstrate their impact, and make recommendations to product and engineering teams for roadmap changes. - Improve analytical pipelines, data structures, and tracking methods to uncover and measure opportunities. - Set a strong example for analytical rigor and collaborative problem-solving.

Requirements - At least five years in product data science or consulting, with evidence of strategic thinking and business impact. - Strong statistical grounding in experimentation, causal inference, forecasting, and modeling. - Experience working with product and engineering teams to implement roadmap decisions. - Advanced SQL and Python skills, plus hands-on A/B testing, GitHub, Snowflake, and dbt experience or close equivalents. - Advanced degree in data science, analytics, economics, statistics, or a related quantitative field. - Curiosity, empathy, and comfort working collaboratively through ambiguity with a high degree of ownership.

Benefits and work setup Remote-first team. The listed base salary range is $125,000–$145,000 per year. Benefits include medical, dental, and vision coverage, company stock, flexible paid time off, and a 401(k) with financial guidance. Immigration-related sponsorship is not available for this role.