Senior Data Scientist - F500 Expert

• 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.

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.

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