Senior Data Scientist, Revenue Analytics

📋 Description

• Cross-functional Champion: Lead cross-functional teams through ambiguity to drive revenue initiatives.
• Revenue Optimization: Identify strategies to maximize revenue and client acquisition.
• Data-driven Insights: Lead simulations, A/B tests, and causal impact analyses to shape strategy.
• Data Infrastructure: Own, refine, and improve data pipelines and tracking methodologies.
• AI for Change: Embed AI into the Revenue Analytics workflow and experiment.
• Expected Pay Range: $125,000 - $135,000 per year.

🎯 Requirements

• 5+ years in data science or consulting with data-driven impact.
• Excellent written and verbal communication; able to share insights to diverse audiences.
• Expert SQL, Python, A/B testing, and GitHub.
• Excited about AI tools (Claude, Gemini) and eager to improve day-to-day efficiency.
• Curious and holistic thinker; prioritize what’s best for the business.
• Empathetic, humble, and collaborative team player.
• Advanced degree in data science, analytics, economics, statistics or related field.
• Located within the continental United States.

🎁 Benefits

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