Data Scientist

This role supports an enterprise data modernization initiative by transforming complex data into actionable insights for operational and leadership decision-making. The Senior Data Scientist is responsible for full-stack analytics execution, with a strong emphasis on data visualization, BI enablement, and production-ready analytics. The role blends data science, analytics engineering, and visualization to ensure high-impact dashboards and analytical outputs are reliable, accurate, and scalable., Develop end-to-end analytics solutions from curated data through visualization and reporting Design and deliver dashboards and data products that support operational and executive decision-making Work within enterprise BI platforms to create reusable, scalable visualizations and analytics assets Partner with data engineers to define semantic models and analytics-ready datasets Apply transformation logic and analytics methodologies using Python and SQL Validate data integrity and analytical outputs to ensure accuracy and trust Support the operationalization of analytical models or derived metrics into production environments Collaborate with stakeholders to translate business questions into effective analytical solutions

Full-stack analytics experience with a strong emphasis on BI and data visualization Hands-on experience with BI platforms such as Power BI, Tableau, or Qlik Intermediate proficiency in Python for analytics, modeling, or data preparation Strong SQL skills for querying, analysis, and validation Experience with modern data platforms; Databricks preferred Ability to work within structured, enterprise analytics and reporting environments