Senior Data Scientist — Enterprise Analytics for F500

Obsidian; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Mercor is seeking senior data science and analytics professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise data contexts. You will craft enterprise data science scenarios, draft reference outputs, and write rubrics that capture senior leaders' thinking.

Ideal candidates have 5+ years in data science or ML engineering within large organizations, with direct ownership of enterprise data products or ML systems in production.

Qualifications

• 5+ years working as a data scientist, analytics leader, or ML engineer in large-scale environments.
• Experience owning data products or ML systems in production within enterprise contexts.
• Strong grasp of enterprise data governance, privacy compliance, and cross-functional alignment.

Responsibilities

• Design enterprise data science scenarios for Fortune 500 engagements across analytics governance and data infrastructure decisions.
• Develop tasks across ML model development, pipelines, BI at scale, experimentation, and data strategy.
• Document rubric, reference analyses, and executive-level insights to distinguish authentic data science judgment.

Skills

Senior data scientist

Analytics leadership

ML engineer

Tools

Snowflake

Databricks

Python/R

SQL

Tableau

Power BI

SageMaker

Vertex AI

MLflow

Job description

Mercor is seeking senior data science and analytics professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise data contexts. You will craft enterprise data science scenarios, draft reference outputs, and write rubrics that capture senior leaders' thinking.

Ideal candidates have 5+ years in data science or ML engineering within large organizations, with direct ownership of enterprise data products or ML systems in production.