We’re looking for a Lead Data Scientist and manager of the practice to lead this next chapter. You’ll own the data science practice end-to-end; building and managing the team, advising clients on what’s possible, and delivering work that raises the bar for what data can do within marketing ecosystems.
Requirements
- Manage a team of data scientists end-to-end; hiring, onboarding, personal development, performance conversations, and day-to-day support.
- Personally contribute to high-complexity initiatives; designing and shipping ML models, training and inference pipelines, and experimentation frameworks.
- Partner with account and strategy teams on scoping, proposals, and commercial conversations: you’re a credible voice in the room when clients are deciding where to invest.
- Lead complex data science initiatives from hypothesis and experimentation through model development, validation, and activation.
- Own quality across all team deliverables, with discipline in statistical methods, reproducibility, and insight generation.
- Champion agentic AI as both a way of working and a delivery capability.
- Coach data scientists to adopt AI-native engineering practices (agentic coding, AI-assisted development, prompt and context engineering) and lead the design of agentic solutions for clients:
- Establish guidelines, ways of working, and reusable accelerators.
- Maintain a backlog of data science use cases.
Benefits
- Generous Paid Time Off
To apply for this job please visit job-boards.greenhouse.io.

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