About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data Science and Analytics Experts Type:Contract Compensation:$60–$70/hour Location:Remote
Role Responsibilities
Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts.
Build analytics tasks across machine learning model development, enterprise data pipelines, and business intelligence at scale.
Develop data and MLOps scenarios using tools like Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms such as SageMaker, Vertex AI, and MLflow.
Apply enterprise data science methodologies, including statistical rigor, A/B testing frameworks, and MLOps best practices to produce reference analyses and executive-level insights.
Author rubrics that distinguish authentic enterprise data science judgment from generic textbook recall.
Qualifications
Must-Have
5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production.
Fluency in enterprise data science tooling and methodologies, with an understanding of F500 data governance and privacy compliance.
Preferred
Prior rubric, technical curriculum, or model documentation authorship. Application Process (Takes 20–30 mins to complete)
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Mercor connects elite creative and technical talent with leading AI research labs. The company specializes in matching top-tier professionals with AI research organizations to support advanced projects. Mercor facilitates work across multiple domains including financial analysis, hedge fund strategy evaluation, and deal structuring, leveraging AI to enhance model training and research capabilities. The company bridges the gap between specialized talent and cutting-edge AI research institutions.
