Role OverviewMercor connects elite creative and technical talent with leading AI research labs. As a Senior Data Scientist, you will construct enterprise data science scenarios for large-scale predictive modeling, multi-stakeholder analytics governance, and complex data infrastructure decisions at Fortune 500 accounts.
What You Will Do
You will build analytics tasks across F500 machine learning model development, enterprise data pipelines, and business intelligence at scale, and 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.
Why It Might Be a Fit
You will 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, and 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 F500 data governance, privacy compliance, and cross-functional stakeholder alignment
Benefits
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