Description:
Data Science and Analytics Experts
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.