Senior Data Scientist (Remote)

Remote contract role for a Senior Data Scientist to build enterprise-scale evaluation tasks for AI systems in Fortune 500 data and analytics environments.

About the role

We are hiring for one of our clients, seeking Data Science and Analytics Experts to construct enterprise-scale evaluation workflows calibrated to the data scale, model complexity, and business-critical stakes of Fortune 500 and large public company operations. Contributors will design enterprise data science scenarios, draft reference outputs, and write rubrics that reflect how senior Fortune 500 data leaders think.

Responsibilities

• Construct enterprise data science scenarios spanning large-scale predictive modeling, multi-stakeholder analytics governance, and complex data infrastructure decisions at Fortune 500 accounts.
• Build analytics tasks across Fortune 500 machine learning model development, enterprise data pipelines, business intelligence at scale, experimentation/causal inference, and data strategy.
• Develop data and ML Ops scenarios involving tools such as Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms (SageMaker, Vertex AI, MLflow) in Fortune 500 stacks.
• Apply enterprise data science methodologies (statistical rigor, A/B testing frameworks, model validation, ML Ops best practices) and produce reference analyses, model documentation, 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 or inside a Fortune 500 data/analytics organization.
• Direct ownership of Fortune 500 data products, analytics initiatives, or machine learning systems in production.
• Fluency in enterprise data science tooling and methodologies for Fortune 500 contexts.
• Experience with Fortune 500 data governance, privacy compliance, and cross-functional analytics leadership.
• Proficiency in Python/R, SQL, and enterprise BI tools (Tableau/Power BI).
• Familiarity with cloud data platforms (Snowflake, Databricks) and MLOps tools (SageMaker, Vertex AI, MLflow).
• Understanding of statistical rigor, A/B testing frameworks, and model validation in enterprise settings.
• Ability to produce executive-level insights and model documentation for Fortune 500 stakeholders.

Pay

$60–$70 per hour.