Data Scientist – Analytics Engineer

Role Overview

Leads efforts to develop, monitor and maintain processes, frameworks, and tools ensuring reliability and scalability to support advanced analytics, predictive modeling, machine learning, and decision-making. Focuses on engineering data products and implementing automated processes that enable analytic product development.

What You Will Do

Defines and implements standards for data strategy, code quality, and lifecycle management while providing technical guidance and mentorship on automation, data engineering, and best practices. Designs, builds and maintains large and complex information sets optimized for performance and reliability.

Why It Might Be a Fit

Typically requires minimum of 4-5 years work experience. Database and analytical experience required; proficiency in Python, dbt, SQL, SAS preferred, but not required.

Requirements

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
• Typically requires minimum of 4-5 years work experience
• Database and analytical experience required
• Proficiency in Python, dbt, SQL, SAS preferred

Benefits

• Comprehensive benefits
• Differentiated compensation offerings
• Incentive compensation plan
• Physical, financial, emotional and social well-being support