Data Analyst (Remote)
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Key skills for this role
About the Role
We are hiring a Data Analyst for a client to work on a part-time basis, contributing to the evaluation and improvement of AI systems. The role involves analyzing datasets, developing data analysis workflows, and collaborating with ML engineers.
Key Skills for This Role
Responsibilities
- Analyze structured and unstructured datasets from ML training, inference, and evaluation pipelines
- Define, develop, and maintain complex data analysis workflows including data ingestion, processing, and visualization
- Work collaboratively with cross functional teams including ML engineers, researchers, and product managers
- Develop and maintain high quality, production ready data visualizations and reports
- Stay up to date with the latest developments in machine learning and data analysis
Requirements
- Proven experience in data analysis and machine learning
- Strong understanding of statistical modeling, data visualization, and data mining techniques
- Strong programming skills in Python, with experience using NumPy, pandas, and scikit learn
- Excellent analytical and problem solving skills
- Experience working with large datasets using cloud based platforms like AWS or GCP
- Strong communication and collaboration skills
Full Job Posting
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.
Key Responsibilities
- Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines.
- Define, develop, and maintain complex data analysis workflows, including data ingestion, processing, and visualization.
- Work collaboratively with cross functional teams, including ML engineers, researchers, and product managers.
- Develop and maintain high quality, production ready data visualizations and reports.
- Stay up to date with the latest developments in machine learning and data analysis.
Required Skills & Qualifications
- Proven experience in data analysis and machine learning.
- Strong understanding of statistical modeling, data visualization, and data mining techniques.
- Strong programming skills in Python, with experience using NumPy, pandas, and scikit learn.
- Excellent analytical and problem solving skills.
- Experience working with large datasets using cloud based platforms like AWS or GCP.
- Strong communication and collaboration skills.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the AI industry.
- Contribute to the development and deployment of cutting edge AI systems.
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