Competitive Data Scientist (Kaggle)
About the role
We're looking for data scientists, machine learning practitioners, and applied mathematics experts with competitve Data Science experience. (Kaggle, DrivenData, etc.) You’ll draw on your competition experience, mathematical reasoning, and programming skills to create tasks that require more than a plausible answer. Each task should have a reproducible environment, a verified reference solution, and reliable checks for successful completion.
What you'll do
- Build reproducible environments, prepare relevant data and dependencies, and implement reference solutions.
- Develop tests and evaluation criteria that reliably distinguish correct solutions from incomplete or flawed approaches.
- Run coding agents against tasks, investigate their failures, and refine the tasks based on observed behavior.
- Identify implementation errors, flawed assumptions, data leakage, and other issues that affect correctness.
- Document task requirements, solution reasoning, and verification steps clearly.
Requirements
- Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions. (Kaggle, DrivenData, etc.)
- Strong problem solving ability and a clear understanding of the methods you use.
- Practical programming ability sufficient to implement and verify your own solutions.
- Relevant competition platforms include Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench.
About micro1
micro1 is a data lab that helps AI labs and large companies train AI models and agents. It finds and checks skilled people from many fields, like law, medicine, finance and coding, to produce the training data that makes AI work better.
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