Lead Data Scientist (Revenue Analytics)

Join our Revenue Analytics team as a Lead Data Scientist. In this role, you will develop strategic recommendations grounded in data to drive and recover revenue. You will lead cross-functional teams, optimize revenue strategies, improve quantitative analysis techniques, and refine data infrastructure. You will also mentor junior team members and explore the integration of AI into our workflow. Candidates must have an advanced degree in a quantitative field, expert knowledge of SQL and Python, and 7+ years of experience in data science or consulting.

• Lead cross-functional teams to influence and implement revenue-driving initiatives and recommendations.
• Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall.
• Lead the charge in improving quantitative analysis techniques to better influence audiences on strategic direction.
• Excited and passionate about the new AI tools (Claude, Gemini, etc.) and eager to learn how that can help improve our day-to-day efficiency
• Advanced degree in data science, analytics, economics, statistics or similar quantitative field
• Expert knowledge of SQL, Python, A/B testing, and Github
• Candidates must be located within the continental United States
• Exceptional written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds
• 7+ years experience in data science and/or consulting with strong emphasis on breaking down ambiguous business problems into data driven impact
• Empathetic, humble, and collaborative team player
• Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically