Enterprise Data Science Specialist

Role Summary

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.

Requirements

• 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)
• Upload resume
• AI interview based on your resume
• Submit form
• Resources & Support
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Additional Information

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