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# Enterprise Data Science Specialist - AI Trainer

- **Company:** Mercor, Inc.
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Governance, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, Azure Machine Learning, SQL Databases, Tableau (Software), Enterprise Data Management, Snowflake, Machine Learning Operations, Databricks
- **Published:** October 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/25c6177a-f89f-4ca8-bc12-530ab129c7ae/enterprise-data-science-specialist-ai-trainer

## About the Role

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.

## Description

* 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., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.