Data Science Expert

Mercor
San Francisco, CA
Job Description
Role Overview

We are seeking a Data Science Expert to join our team at Mercor. As a Data Science Expert, you will be responsible for constructing enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts. You will build analytics tasks across machine learning model development, enterprise data pipelines, and business intelligence at scale. You will 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.

What You Will Do

Your day-to-day responsibilities will include applying enterprise data science methodologies, including statistical rigor, A/B testing frameworks, and MLOps best practices to produce reference analyses and executive-level insights. You will also author rubrics that distinguish authentic enterprise data science judgment from generic textbook recall.

Why It Might Be a Fit

We are looking for a candidate with 5+ years of experience working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization. You should have 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, is also required.

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 an understanding of F500 data governance and privacy compliance
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