Mercor

Senior Data Scientist - F500 Expert

Stellenbeschreibung:

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

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Stelleninformationen

  • Veröffentlichungsdatum:

    23 Okt 2026
  • Standort:

    WorkFromHome

    Einsatzort:

    Los Angeles
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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