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Xperteez Technology

Competitive Data Scientist | Remote - Contract

Xperteez Technology United States · $125K–$250K/yr

Business Consulting and Services · 51-200 employees

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

You will build reproducible data science environments and implement reference solutions for complex tasks. Additionally, you will develop evaluation criteria to test coding agents and refine tasks based on their performance.

What they look for

Machine Learning Data Science Mathematics Python Coding Quantitative Modeling Debugging Testing Problem-solving Algorithm Development Data Leakage Detection Task Documentation

Requirements

Candidates must have demonstrated experience in data science, machine learning, or quantitative research competitions like Kaggle or DrivenData. Strong programming skills, particularly in Python, and the ability to verify and debug code are required.

Full description

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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