Senior Data Scientist, Revenue Analytics
ExtendRemote (USA)2w ago
Revenueremotecurated-jd
Job description
Senior Data Scientist, Revenue Analytics at Extend
About the role
This position focuses on developing data-informed strategies to grow and protect company revenue. You will analyze complex business situations, identify opportunities, and translate findings into actionable recommendations that impact the company's financial performance.
Key facts
What you'll do
- Lead cross-functional initiatives by translating ambiguous business questions into data-driven solutions.
- Develop and implement novel approaches to increase revenue and improve customer acquisition across the entire sales funnel.
- Enhance quantitative analysis methods, including simulations, A/B testing, and causal impact studies, to guide strategic decisions and present findings to leadership.
- Maintain and improve data pipelines, define data structures, and employ advanced tracking to discover revenue-generating opportunities.
- Act as a mentor for the team, promoting analytical rigor and best practices.
- Integrate artificial intelligence tools into the team's workflow to boost efficiency and output.
Requirements
- A minimum of 5 years of experience in data science or consulting, with a proven ability to connect business challenges to data-driven outcomes.
- Exceptional written and verbal communication skills, with the ability to convey complex data insights to diverse audiences.
- Proficiency in SQL, Python, A/B testing frameworks, and Github.
- Familiarity with new AI tools such as Claude and Gemini, and a desire to explore their application for daily tasks.
- Intellectual curiosity and a holistic business perspective, prioritizing company-wide benefit.
- 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
- Full medical, dental, and vision benefits.
- Stock options in an early-stage company.
- Flexible paid time off.
- 401(k) with financial guidance from Morgan Stanley.