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🌍Competitive Data Scientist (Kaggle), Remote- Contract

RemoteRemoteContract$60–$120 /hrPosted 5 days agoVisa sponsorship availableHidden Gem · Himalayas

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Required skills

  • Kaggle
  • DrivenData
  • competitive Data Science experience
  • mathematical reasoning
  • programming skills
  • reproducible environment
  • reference solution
  • reliable checks
  • coding agents
  • investigate failures

Nice to have

  • Python

Role summary

We are seeking a Competitive Data Scientist for a remote, contract role. You will leverage your experience in data science, machine learning, and applied mathematics to create challenging and reproducible data science tasks. Responsibilities include building environments, implementing reference solutions, developing robust testing and evaluation criteria, and analyzing task failures. The ideal candidate has a strong background in competitive data science platforms like Kaggle or DrivenData, excellent mathematical reasoning, and practical programming skills, particularly in Python.

Role Title: Competitive Data Scientist (Kaggle)

Location: Global, fully remote

Job Type: Contract (~15 hours per week)

Schedule: Flexible-you choose the hours and days you work, including weekends if desired

Required Skills:

  • ML Engineering

  • Data Science

  • Mathematics

  • Coding

We're looking for data scientists, machine learning practitioners, and applied mathematics experts with competitive 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.

Huge Pluses:

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

Originally posted on Himalayas

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