Research Scientist
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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.
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