Senior Data Scientist: Enterprise-Scale ML & Analytics Leader

Mercor; New York (NY); On-site; USD 140,000 - 190,000; 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. The role involves designing enterprise data science scenarios, drafting reference outputs, and writing rubrics that reflect how senior F500 leaders think.

The work spans large-scale predictive modeling, analytics governance, and data infrastructure decisions for Fortune 500 accounts, with hands-on experience across Snowflake, Databricks,

Qualifications

• 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization (Google, Meta, Amazon, Microsoft, Netflix) or inside an F500 data/analytics organization (JPMorgan, UPS, Unilever, PepsiCo, Walmart).
• Direct ownership of F500 data products, F500 analytics initiatives, or F500 machine learning systems in production.
• Fluency in enterprise data science tooling and methodologies, plus understanding of how F500 data governance, privacy compliance, and cross-functional stakeholder alignment actually work.
• Prior rubric, technical curriculum, or model documentation authorship is a plus.

Responsibilities

• Construct enterprise data science scenarios spanning large-scale predictive modeling, multi-stakeholder analytics governance, and complex data infrastructure decisions at F500 accounts.
• Build analytics tasks across F500 machine learning model development, enterprise data pipelines, business intelligence at scale, experimentation/causal inference, and data strategy.
• Develop data and MLOps scenarios involving tools such as Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms (SageMaker, Vertex AI, MLflow) in F500 stacks.
• Apply enterprise data science methodologies (statistical rigor, A/B testing frameworks, model validation, MLOps best practices) and produce reference analyses, model documentation, 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

F500 experience

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. The role involves designing enterprise data science scenarios, drafting reference outputs, and writing rubrics that reflect how senior F500 leaders think.

The work spans large-scale predictive modeling, analytics governance, and data infrastructure decisions for Fortune 500 accounts, with hands-on experience across Snowflake, Databricks,