ANALYTICS LEADER - FULLY REMOTE | UPTO $70/HR

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