Lead Data Scientist, Revenue Analytics

📋 Description

• Lead cross-functional teams through ambiguity to drive revenue initiatives.
• Own strategies to maximize revenue and client acquisition across the revenue funnel.
• Advance analytics (simulation, A/B tests, causal analysis) and present insights to leadership.
• Own and improve data pipelines and data structures for analytics.
• Mentor junior team members in analytical thinking.
• Embed AI into Revenue Analytics; latitude to experiment.

🎯 Requirements

• 7+ years in data science/consulting; translating ambiguity into data-driven impact.
• Exceptional written and verbal communication; explains data insights to diverse audiences.
• Expert knowledge of SQL, Python, A/B testing, and Github.
• Excited about AI tools (Claude, Gemini) and eager to improve day-to-day efficiency.
• Intellectually curious; think beyond revenue and prioritize the business holistically.
• Candidates must be located within the continental United States.

🎁 Benefits

• Collaborative team from diverse backgrounds.
• Competitive pay with full medical, dental and vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.