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.