Open role
[Remote] Data Scientist
Note: The job is a remote job and is open to candidates in USA. TekPillar is seeking a Data Scientist to evaluate AI-generated responses and assess their accuracy, analytical quality, and communication. The role also involves creating technical evaluation materials and identifying issues in statistical reasoning, modeling, and experimental design.
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
Skills
- 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
Benefits
- Remote work
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