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Data Scientist - Remote

Remote / Online - Candidates ideally in
Buffalo, Erie County, New York, 14201, USA
Listing for: YO AI Labs
Remote/Work from Home position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 83000 - 131000 USD Yearly USD 83000.00 131000.00 YEAR
Job Description & How to Apply Below
Position: Competitive Data Scientist - Remote
Role

Title:

Competitive Data Scientist

Role Type: Contractor
Location: Global, Fully Remote
Time Commitment: Approximately 15 hours per week
Schedule: Flexible, including weekends

We are seeking Data Scientists, Machine Learning Practitioners, and Applied Mathematics experts with competitive data science experience to support an AI training project. You'll develop challenging, reproducible tasks that test problem-solving, programming, and analytical reasoning. Each task must include a verified reference solution and reliable evaluation criteria.

Key Responsibilities
  • Build reproducible environments, prepare datasets and dependencies, and implement reference solutions.
  • Develop tests and evaluation criteria to verify solution correctness.
  • Run coding agents on tasks, analyze failures, and refine tasks based on observed results.
  • Identify implementation errors, flawed assumptions, data leakage, and other correctness issues.
  • Document task requirements, solution logic, and verification procedures clearly.
Required Qualifications
  • Demonstrated experience in data science, machine learning, quantitative modeling, or research competitions.
  • Strong problem-solving skills and a clear understanding of analytical methods.
  • Practical programming skills to implement, test, and verify solutions.
  • Experience with competitive data science platforms such as Kaggle, Driven Data, Zindi, AIcrowd, Numerai, Data Source.ai, or Coda Lab/Codabench.
Preferred Qualifications
  • Strong Python programming skills.
  • Experience with testing, debugging, and working with unfamiliar code.
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