Competitive Data Scientist

Competitive Data Scientist ($60 – $120/hour)

Role Responsibilities

• 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

Good Candidature

• 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.

Nice to Have

• Strong coding experience, particularly in Python, including testing, debugging, and working with unfamiliar code

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