Data Analyst

About the job

Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines . Define, compute, and validate metrics used to evaluate model performance and behavior. Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks. Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows. Validate data quality, consistency, and correctness across datasets and experiments. Create clear, well-documented analytical artifacts and reproducible analysis workflows. Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench. Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer. Strong proficiency in Python for data analysis. Solid experience with SQL and relational datasets. Experience analyzing ML outputs and evaluation metrics. Ability to work with large, complex datasets and draw reliable insights. Experience writing clean, readable, and well-documented analytical code. Excellent spoken and written English communication skills. Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)