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Xperteez Technology

Competitive Data Scientist | Remote - Contract

Sorry, this job was removed at 12:05 a.m. (EST) on Thursday, Oct 15, 2026
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level

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Create reproducible data science and machine learning tasks with verified reference solutions, robust tests, and evaluation criteria. Investigate coding-agent failures, identify implementation errors and data leakage, refine task designs, and document requirements and verification steps. The role requires competitive data science experience, mathematical reasoning, programming ability, and practical expertise in implementing and validating solutions.
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Role Title: Competitive Data Scientist

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.

Required Skills

  • ML Engineering

  • Data Science

  • Mathematics

  • Coding

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

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