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:

- For any help or support, reach out to:

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

Originally posted on Himalayas