Similar Jobs
See allAbout the Role:
- You will own revenue optimization and risk mitigation strategies across the entire revenue waterfall.
- You will build data-driven narratives for client-facing teams, using testing, Monte Carlo simulations, and ML models.
- You will work with Product and Engineering to turn proven ideas into product features.
What You Will Be Doing:
- Design and execute experiments and causal inference analyses to drive revenue growth.
- Refine and improve data pipelines and define data structures to uncover opportunities.
- Set the standard for analytical thinking and excellence on the team.
What We're Looking For:
- 5+ years in product data science or consulting with strong strategic thinking.
- Expert knowledge of SQL, Python, A/B testing, GitHub, Snowflake, and dbt.
- Empathetic, humble, and collaborative, with comfort in ambiguity and high ownership.
Life at Extend:
- Work with a great team from diverse backgrounds in a collaborative and supportive environment.
- Competitive salary, full medical/dental/vision benefits, stock, and flexible PTO.
- 401(k) with financial guidance from Morgan Stanley.
Extend
Extend is revolutionizing the post-purchase experience for retailers by providing AI-driven solutions for customer service, returns, fulfillment, and fraud detection. The company works with over 1,000 merchant partners and is backed by prominent tech investors, with a collaborative and supportive remote-first culture.