Source description
About the role
- Own a domain such as credit, risk, or growth end to end, setting the modeling strategy and being accountable for the systems that result.
- Take on the most ambiguous, highest-stakes problems, including framing what should be built and why before any modeling begins.
- Make and defend the hard technical calls, choosing the simplest approach that solves the problem rather than the most sophisticated one.
- Drive models into production and own their long-term health, performance, and reliability once they're live.
- Set technical direction and standards that other data scientists build on, through design reviews, shared tooling, and engineering practices.
- Mentor data scientists across levels and raise the quality bar for the team's work.
- Translate business strategy into a coherent data science roadmap and communicate tradeoffs clearly to leadership.
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