Senior Data Scientist - F500 Expert

Stack

Responsibilities

• ▹Construct enterprise data science scenarios for large-scale predictive modeling, analytics governance and complex data infrastructure decisions 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 such as Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, SageMaker, Vertex AI and MLflow
• ▹Apply enterprise data science methodologies (statistical rigor, A/B testing frameworks, model validation, 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

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 understanding of data governance, privacy compliance and cross-functional stakeholder alignment

Nice to have

• ▹Prior rubric, technical curriculum or model documentation authorship

Soft skills

What we offer

• ▹Remote work
• ▹Contract work at $60–$70/hour

About the company

Mercor connects elite creative and technical talent with leading AI research labs. It is headquartered in San Francisco.