A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience
Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
Ability to influence external stakeholders by synthesizing data learnings into compelling stories.
Practical expertise in applying complex modeling frameworks to practical business problems.
Professional experience using SQL and Python.
Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.
Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process.
Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).