Remote Data Analyst (Machine Learning Evaluation)

• Role: Data Analyst (Remote)
• Location: Remote (Work from Anywhere)
• Payout: Competitive

Role Overview:

We are hiring for one of our clients, seeking a MLE Bench – Data Analyst to work on a part-time basis. 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.

Key Responsibilities:

• Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines to identify trends and areas for improvement.

• Define, develop, and maintain complex data analysis workflows, including data ingestion, processing, and visualization, to support benchmark-driven evaluation projects.

• Work collaboratively with cross-functional teams, including ML engineers, researchers, and product managers, to integrate data analysis insights into AI system development and deployment.

• Develop and maintain high-quality, production-ready data visualizations and reports to communicate insights and recommendations to stakeholders.

• Stay up-to-date with the latest developments in machine learning and data analysis, and apply this knowledge to improve the accuracy and efficiency of AI system evaluations.

Required Skills & Qualifications:

• Proven experience in data analysis and machine learning, with a strong understanding of statistical modeling, data visualization, and data mining techniques.

• Strong programming skills in Python, with experience working with popular data science libraries and frameworks, such as NumPy, pandas, and scikit-learn.

• Excellent analytical and problem-solving skills, with the ability to distill complex technical concepts into actionable insights and recommendations.

• Experience working with large datasets, including data ingestion, processing, and storage, using cloud-based platforms and tools, such as AWS or GCP.

• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders, including ML engineers, researchers, and product managers.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the AI industry, contributing to the development and deployment of cutting-edge AI systems that drive business growth and innovation. As a member of the MLE Bench team, you will have the opportunity to work with a talented and diverse team of researchers, engineers, and product managers, and to apply your skills and expertise to real-world problems and challenges.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Apply Now!