Talent Job Seeker

Enterprise Data Science Specialist

  • Berlin
  • Full-time

About the position

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 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. 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 an understanding of F500 data governance and privacy compliance. Preferred Prior rubric, technical curriculum, or model documentation authorship. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form 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: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Place of work

Talent Job Seeker
Berlin
app.general.countries.Germany

About the company

51-200 Personnel Services

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Fair Compensation

Fair pay and attractive terms

Onboarding

A Structured Start from Day One

A supportive team

Mutual Respect and Open Collaboration

Future Outlook

A Secure Job with Growth Opportunities

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