Data Science Expert - 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 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. 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 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 - 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