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
Robust coding experience, particularly in Python, including testing, debugging, and working with unfamiliar code
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📌 Competitive Data Scientist (Winnipeg)
🏢 Great Value Hiring
📍 Winnipeg