Senior Data Scientist - F500 Expert

Mercor; San Francisco (CA); Hybrid; GBP 62,000 - 72,000; Full time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. We are seeking Data Science and Analytics Experts for a contract, remote role offering $60-$70/hour.

You will craft enterprise data science scenarios for Fortune 500 accounts, advance ML models, and shape governance through tools like Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, SageMaker, Vertex AI and MLflow. 5+ years of F500 data experience required.

Qualifications

• 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
• Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production.
• Fluency in enterprise data science tooling and methodologies, with understanding of F500 data governance, privacy compliance, and cross-functional stakeholder alignment.

Responsibilities

• Construct enterprise data science scenarios for large-scale predictive modeling, multi-stakeholder analytics governance, and complex data infrastructure decisions at Fortune 500 accounts.
• Build analytics tasks across F500 machine learning model development, enterprise data pipelines, and business intelligence at scale.
• Develop data and MLOps scenarios using tools such as 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

5+ years data science

F500 analytics leadership

Enterprise data governance

Tools

Snowflake

Databricks

Python/R

SQL

Tableau/Power BI

SageMaker

Vertex AI

MLflow

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Science and Analytics Experts
Type: Contract
Compensation: $60-$70/hour
Location: Remote

Role Responsibilities

• Construct enterprise data science scenarios for large-scale predictive modeling, multi-stakeholder analytics governance, and complex data infrastructure decisions at Fortune 500 accounts.
• Build analytics tasks across F500 machine learning model development, enterprise data pipelines, and business intelligence at scale.
• Develop data and MLOps scenarios using tools such as 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.

Qualifications

Must-Have

• 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
• Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production.
• Fluency in enterprise data science tooling and methodologies, with understanding of F500 data governance, privacy compliance, and cross-functional stakeholder alignment.

Preferred

• Prior rubric, technical curriculum, or model documentation authorship.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [e-mail]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.