Enterprise Data Science Specialist

Stack

Responsibilities

• ▹Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts
• ▹Build analytics tasks spanning machine learning model development, enterprise data pipelines and business intelligence
• ▹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 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 production machine learning systems
• ▹Fluency in enterprise data science tooling and methodologies, including F500 data governance and privacy compliance

Nice to have

• ▹Prior rubric, technical curriculum or model documentation authorship

About the company

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, its investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers and Jack Dorsey.