Lead Data Scientist
About the role
- Experiment with new training data to improve a targeted model capability and post-train models to demonstrate improvements
- Analyze the performance of frontier models on internal tasks to identify weaknesses and communicate them to customers
- Own a project end-to-end by specifying requirements with customers and coordinating internal teams to ensure that these requirements are met
- What we look for
- Strong technical and engineering abilities; we find good engineering judgment matters far more than formal research experience
- Creative problem solver with strong experimental instincts, you thrive on ambiguous, open-ended problems
- Strong research judgment; you can identify promising directions, design rigorous experiments, and draw useful conclusions from messy results
- Self-directed and relentless, you take ownership of problems end-to-end without heavy process or oversight
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
