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

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.