Senior Data Science & Analytics Leader — Remote

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

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role asks you to lead enterprise data science initiatives for large-scale predictive modeling and governance across Fortune 500 accounts.

We seek a seasoned data scientist or ML engineer with ownership of data products, governance, and production systems. Strong experience with Snowflake, Databricks, Python/R, SQL and BI tools is essential for success.

Qualifications

• 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 tech or enterprise organization.
• Direct ownership of Fortune 500 data products, analytics initiatives, or machine learning systems in production.
• Fluency in enterprise data science tooling and methodologies, with an understanding of Fortune 500 data governance and privacy compliance.

Responsibilities

• 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.

Skills

Data science

Analytics leadership

Machine learning

SQL

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. This remote contract role asks you to lead enterprise data science initiatives for large-scale predictive modeling and governance across Fortune 500 accounts.

We seek a seasoned data scientist or ML engineer with ownership of data products, governance, and production systems. Strong experience with Snowflake, Databricks, Python/R, SQL and BI tools is essential for success.