Cross-functional Champion: Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations.
Revenue Optimization: Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall.
Data-driven Insights: Lead the charge in improving our quantitative analysis techniques (simulation models, A/B testing, causal impact analysis, etc.) to better influence audiences on strategic direction, with opportunities to present these insights to leadership on a regular basis.
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 experience in data science and/or consulting with strong emphasis on breaking down business problems into data driven impact.
Standout written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds
Expert knowledge of SQL, Python, A/B testing, and Github
Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically
Empathetic, humble, and collaborative team player
Advanced degree in data science, analytics, economics, statistics or similar quantitative field
Candidates must be located within the continental United States

Competitive salary based on experience, with full medical and dental & vision benefits.
Stock in an early-stage startup growing quickly.
Generous, flexible paid time off policy.
401(k) with Financial Guidance from Morgan Stanley.

Senior Data Scientist, Revenue Analytics

Key skills