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Xperteez Technology

🌍Competitive Data Scientist (Kaggle), Remote- Contract

Posted Yesterday
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
Create reproducible data science and machine learning tasks with reference solutions, robust tests, and evaluation criteria. Investigate coding-agent failures, identify errors, data leakage, and flawed assumptions, then refine tasks accordingly. Document requirements, solution reasoning, and verification steps. The role requires competitive data science experience, mathematical reasoning, programming ability, and practical knowledge of machine learning and quantitative modeling.
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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

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