Data Analyst (Remote)

Job summary

Analyze datasets and machine learning outputs, define and validate evaluation metrics, and investigate data distributions, failure modes, and edge cases. Use Python and SQL to validate data, produce reports, create reproducible analytical artifacts, and collaborate with machine learning engineers and researchers on benchmark evaluation scenarios.

Job details

Role Title: MLE Bench – Data Analyst Role Type: Part-time Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico Role Overview We are looking for experienced Data Analysts (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems. The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows. What does day-to-day life look like? 1. Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines. 2. Define, compute, and validate metrics used to evaluate model performance and behavior. 3. Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks. 4. Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows. 5. Validate data quality, consistency, and correctness across datasets and experiments. 6. Create clear, well-documented analytical artifacts and reproducible analysis workflows. 7. Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench. Requirements 1. Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer. 2. Strong proficiency in Python for data analysis. 3. Solid experience with SQL and relational datasets. 4. Experience analyzing ML outputs and evaluation metrics. 5. Strong understanding of statistics and analytical reasoning. 6. Ability to work with large, complex datasets and draw reliable insights. 7. Experience writing clean, readable, and well-documented analytical code. 8. Excellent spoken and written English communication skills. Offer Details 1. Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. 2. Engagement Type: Contractor assignment (no medical/paid leave) 3. Duration of Contract: 3 months (adjustable based on engagement) 4. Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico Evaluation Process 1. Technical Interview with live coding challege (60 mins) What You’ll Do 1. Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines. 2. Define, compute, and validate metrics used to evaluate model performance and behavior. 3. Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks. 4. Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows. 5. Validate data quality, consistency, and correctness across datasets and experiments. 6. Create clear, well-documented analytical artifacts and reproducible analysis workflows. Apply Now!

What you’ll do

Analyze datasets and machine learning outputs, define and validate evaluation metrics, and investigate data distributions, failure modes, and edge cases. Use Python and SQL to validate data, produce reports, create reproducible analytical artifacts, and collaborate with machine learning engineers and researchers on benchmark evaluation scenarios.

Requirements

Requires at least three years of experience as a data analyst or analytics-focused engineer, strong Python and SQL skills, and experience with machine learning outputs and evaluation metrics. Candidates should have strong statistical reasoning, be able to analyze complex datasets and write well-documented code, and communicate effectively in English.

Listed skills

• Python · Preferred
• SQL · Preferred
• Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Data Analysis
• Machine Learning Evaluation
• Statistical Analysis
• Metric Definition and Validation
• Data Quality Validation
• Relational Datasets
• Large-Scale Data Analysis
• Failure Mode Analysis
• Analytical Reporting
• Reproducible Workflows
• Analytical Code Documentation
• English Communication

Job areas

• Data & Analytics
• Technology
• Software
• Engineering
• Science & Research

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