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Data Scientist

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Onsite

Data Scientist

TekPillar®

Data Scientist

Skills

Data ScienceData AnalysisMachine LearningAI

1 day ago

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Important information


Contract type:

Freelance / Contract

Location:

United States

Work mode:

Onsite

Published on:

20 October 2026

What they need


Job Role: Data Scientist

Location: Remote

Roles & Responsibilities

  • Review AI-generated responses to data science, statistics, machine learning, and quantitative problem-solving questions to assess their accuracy and overall quality.
  • Examine data analysis, statistical calculations, and model outputs to ensure results are logical, reliable, and supported by sound analytical methods.
  • Develop practical technical questions, datasets, and accurate reference solutions that can be used to evaluate data science knowledge and problem-solving capabilities.
  • Identify errors in data modeling, statistical reasoning, experimental approaches, and analytical methods, and explain where improvements are needed.
  • Evaluate how effectively AI systems interpret data, apply statistical concepts, solve complex problems, and communicate their conclusions.
  • Assess the quality of experimental design and data interpretation, ensuring that conclusions are reasonable and supported by the available evidence.

Preferred Qualifications

  • Professional experience working with an established technology company, financial institution, or research organization, preferably in data science, analytics, machine learning, statistics, or a related quantitative field.
  • Relevant professional experience, including some experience gained within the past three years.
  • Strong written communication skills, with the ability to explain technical concepts, statistical findings, and analytical reasoning in a clear and structured manner.
  • Solid analytical thinking and critical reasoning skills, with the ability to assess complex problems, validate results, and identify errors or inconsistencies.
  • Familiarity with data analysis, statistical methods, machine learning concepts, and data modeling techniques.

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