Senior Data Scientist - F500 Expert

mercor; Deutschland; Remote; EUR 74,000 - 86,000; Part time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role asks you to design and run enterprise data science scenarios for Fortune 500 accounts, delivering scalable analytics and ML-driven insights.

You will own data products, govern analytics initiatives, and guide cross-functional teams through MLOps best practices. Requires 5+ years in data science or ML engineering at large enterprises, with fluency in Snowflake, Databricks, Python/R, SQL,

Qualifications

• 5+ years in data science, analytics leadership, or ML engineering at large orgs.
• Direct ownership of data products, analytics initiatives, or ML systems in production.
• Fluency with enterprise data tooling, governance, and cross-functional alignment.

Responsibilities

• Construct enterprise data science scenarios for large-scale predictive modeling and analytics governance.
• Build analytics tasks across ML model development, data pipelines, and BI at scale.
• Develop data and MLOps scenarios using Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, SageMaker, Vertex AI, MLflow.
• Apply rigorous methodologies, A/B testing, model validation, and MLOps best practices.
• Author rubrics to ensure authentic enterprise data science judgment.

Skills

Data Science Experience

F500 Ownership

Analytics Leadership

Python/R

ML Engineering

Education

Bachelor's degree in related field

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.

Originally posted on Himalayas