Note: The job is a remote job and is open to candidates in USA. Extend is revolutionizing the post-purchase experience for retailers and their customers through AI-driven solutions. The Lead Data Scientist for Revenue Analytics will develop strategic recommendations based on data to drive and recover revenue, while leading cross-functional teams and optimizing revenue strategies.
Responsibilities
- Independently lead cross-functional teams through ambiguous questions 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 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
- 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
- Develop junior members of the team in terms of analytical thinking and excellence
- Leading the charge for how to embed AI into the Revenue Analytics workflow, raising the floor on what the team can produce. You'll have latitude to experiment and the expectation that you will
Skills
- 7+ years experience in data science and/or consulting with strong emphasis on breaking down ambiguous business problems into data driven impact
- Exceptional 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
- 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
- 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
Benefits
- 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.
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