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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 , multi-stakeholder analytics governance , and complex data infrastructure decisions at Fortune 500 accounts.
Build analytics tasks across F500 machine learning model development , enterprise data pipelines, and business intelligence at scale.
Develop data and MLOps scenarios using tools such as Snowflake , Databricks , Python/R , SQL , Tableau/Power BI , and enterprise ML platforms like SageMaker , Vertex AI , and MLflow .
Apply enterprise data science methodologies including statistical rigor, A/B testing frameworks , model validation, and MLOps best practices to produce reference analyses and executive-level insights.
Author rubrics that distinguish authentic enterprise data science judgment from generic textbook or tutorial-level 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 understanding of F500 data governance , privacy compliance, and cross-functional stakeholder alignment.
Preferred Prior rubric, technical curriculum, or model documentation authorship.
Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form
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