Remote contract role for data scientists and analytics leaders: you build enterprise data science scenarios and tasks for AI research labs. Pay: $60–$70/hour.
Responsibilities
- ▹Construct enterprise data science scenarios for large-scale predictive modeling, analytics governance and complex data infrastructure decisions 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 such as Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, SageMaker, Vertex AI and MLflow
- ▹Apply enterprise data science methodologies (statistical rigor, A/B testing frameworks, model validation, 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
Requirements
- ▹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 data governance, privacy compliance and cross-functional stakeholder alignment
Nice to have
- ▹Prior rubric, technical curriculum or model documentation authorship
Soft skills
Cross-functional stakeholder alignment
What we offer
- ▹Fully remote work
- ▹Contract work at $60–$70/hour
About the company
Mercor connects elite creative and technical talent with leading AI research labs. It is headquartered in San Francisco.
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