Senior Enterprise Analytics Leader - AI & Data Strategy

Obsidian

New York (NY)

Remote

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Mercor seeks senior data science and analytics professionals to craft evaluation tasks for AI systems operating in Fortune 500 enterprise contexts. The role focuses on enterprise-grade data challenges, governance, and scalable analytics across large organizations.

Contributors design scenarios, draft reference outputs, and create rubrics that reflect how senior F500 data leaders think and decide. The work emphasizes ownership of data products and production-ready analytics in enterprise stacks.

Qualifications

5+ years as a data scientist, analytics leader, or ML engineer in a Fortune 500 tech or enterprise setting.
Direct ownership of data products or analytics initiatives in production.
Fluency with enterprise data science tooling and governance practices.
Prior rubric or model documentation authorship is a plus.

Responsibilities

Construct enterprise data science scenarios spanning large-scale predictive modeling and analytics governance at F500 accounts.
Build analytics tasks across ML model development, data pipelines, BI at scale, experimentation, and data strategy.
Develop data and MLOps scenarios using Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms (SageMaker, Vertex AI, MLflow).
Apply enterprise data science methodologies (statistical rigor, A/B testing, model validation, MLOps) and produce executive insights.
Author rubrics that distinguish authentic enterprise data science judgment from generic recall.