Research Scientist

Job description

We are seeking an early-career research scientist. You will take open, loosely defined problems from first question to a working, validated, defensible result. This is hands-on applied research: you will own the problem end to end, build the solution yourself, and be accountable for whether the evidence actually holds. What you will do Take ownership of applied machine-learning research problems end to end: framing the question, assembling and cleaning the data, choosing and implementing the method, evaluating it honestly, and reaching a defensible conclusion. Build and validate models on messy, real-world data, with rigorous attention to data quality, data leakage, regime change, and genuine out-of-sample performance. Implement methods from first principles where needed, in Python and, where appropriate, a compiled or systems language. Design evaluation harnesses and benchmarks so that your own results, and the team's, are reproducible and falsifiable rather than merely asserted. Communicate your reasoning and results clearly to both technical and non-technical colleagues, and independently reproduce and pressure-test teammates' results. Work collaboratively in a small, high-density team, and raise the way the team works, not only your own output.