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Competitive Data Scientist

EVB Othery, England, United Kingdom · $125K–$250K/yr

Services for Renewable Energy · 11-50 employees

14 h ago
Remote data-scientist Mid (2-5 yrs) Contractor United Kingdom
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About the role

Build reproducible environments and implement reference solutions for data science tasks. Develop evaluation criteria and run coding agents to identify and refine task requirements.

What they look for

Data Science Machine Learning Applied Mathematics Python Debugging Testing Quantitative Modeling Problem-solving Programming Data Leakage Detection

Requirements

Requires demonstrated experience in data science or machine learning competitions such as Kaggle or DrivenData. Strong problem-solving abilities and practical programming skills in Python are essential.

Full description

Job Description

  • Role Title: Competitive Data Scientist
  • Pay: $60–$120/hour
  • Location: Global, fully remote
  • Job Type: Contractor (~15 hours per week)
  • Schedule: Flexible-you choose the hours and days you work, including weekends if desired

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.

What We’re Looking For

  • 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.

Huge Pluses

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

Additional Information

A very attractive and competitive package is offered.

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