Remote Enterprise ML & Data Analytics Leader

mercor; United States; Remote; USD 83,000 - 96,000; Part time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. A remote contract role focuses on data science and analytics leadership for large-scale predictive modeling and enterprise data initiatives.

The position requires 5+ years in data science/ML at an enterprise, with hands-on experience across data governance, ML systems, and cross-functional collaboration. Remote work and competitive contract compensation are offered.

Qualifications

• 5+ years as data scientist, analytics leader, or ML engineer at an enterprise.
• Direct ownership of Fortune 500 data products or ML systems in production.
• Fluency with enterprise data tooling, governance, privacy, and cross-functional alignment.

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 Fortune 500 machine learning model development, enterprise data pipelines, and business intelligence at scale.
• Develop data and MLOps scenarios using 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, model validation, and 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.

Skills

Data science

Analytics leadership

ML engineering

Enterprise governance

Stakeholder alignment

Tools

Snowflake

Databricks

Python

R

SQL

Tableau

Power BI

SageMaker

Vertex AI

MLflow

Job description

Mercor connects elite creative and technical talent with leading AI research labs. A remote contract role focuses on data science and analytics leadership for large-scale predictive modeling and enterprise data initiatives.

The position requires 5+ years in data science/ML at an enterprise, with hands-on experience across data governance, ML systems, and cross-functional collaboration. Remote work and competitive contract compensation are offered.