Lead Data Scientist, Revenue Analytics
ExtendRemote (USA)1w ago
Revenueremotecurated-jd
Job description
Lead Data Scientist, Revenue Analytics at Extend
About the role
This position will drive revenue growth and expansion by developing data-informed strategies. You will analyze complex business challenges and translate them into actionable recommendations that impact the company's financial performance.
Key facts
What you'll do
- Guide cross-functional teams to tackle unclear questions, influencing and implementing revenue-boosting initiatives.
- Discover and implement novel strategies to increase revenue and improve customer acquisition across the entire sales funnel.
- Enhance quantitative analysis methods, including simulations, A/B tests, and causal impact studies, to effectively communicate strategic direction to various audiences, including leadership.
- Maintain and improve data pipelines, define data structures, and employ advanced tracking to identify revenue opportunities.
- Mentor and develop junior team members in analytical thinking and best practices.
- Explore and integrate artificial intelligence into the Revenue Analytics workflow to improve team output and efficiency.
Requirements
- A minimum of 7 years of experience in data science or consulting, with a focus on solving ambiguous business problems through data.
- Strong written and verbal communication skills, with the ability to present data insights to diverse audiences.
- Proficiency in SQL, Python, A/B testing frameworks, and Github.
- Familiarity with and enthusiasm for new AI tools like Claude and Gemini, and a desire to apply them to daily tasks.
- Intellectual curiosity and a commitment to prioritizing the best interests of the business as a whole.
- A collaborative, humble, and empathetic approach to teamwork.
- An advanced degree in a quantitative field such as data science, analytics, economics, or statistics.
- Must reside within the continental United States.
Nice to have
- Experience with simulation models.
- Experience with causal impact analysis.
Skills & tools
- SQL
- Python
- A/B Testing
- Github
- AI tools (Claude, Gemini)
Practical notes
- Comprehensive medical, dental, and vision benefits.
- Stock options in an early-stage company.
- Generous and flexible paid time off.
- 401(k) plan with financial guidance from Morgan Stanley.