Principal Data Scientist

Role Overview

Serve as a principal-level technical leader and advanced data science contributor responsible for developing, evaluating, scaling, and improving complex, high-impact AI, machine learning, and predictive modeling solutions across priority business areas.

What You Will Do

Lead end-to-end data science initiatives from problem definition and experimentation through model development, production deployment, monitoring, and ongoing optimization.

Why It Might Be a Fit

Partner with business and technical stakeholders to deliver measurable improvements in portfolio performance, profitability, risk management, and decision-making.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field
• Minimum of seven (7) years of progressive data science, statistical modeling, or machine learning experience
• Advanced proficiency in Python and SQL
• Experience with commonly used machine learning, statistical modeling, and data science frameworks and libraries
• Advanced experience developing and deploying modeling solutions within cloud-based environments
• Experience working with modern data and analytics platforms such as Databricks or comparable technologies
• Advanced knowledge of predictive modeling, machine learning, artificial intelligence, statistical analysis, experimentation, model evaluation, performance measurement, and practical use of AI to improve model development, review, monitoring, documentation, and scalability

Benefits

• Potential Bonus: Annually
• Base Salary Range: USD $155,000.00 – USD $190,000.00 /Yr.