Data Scientist and Analytics Engineer

Job Summary

To drive measurable outcomes across transportation and logistics operations, the full-time Data Scientist / Analytics Engineer will design, build, and operationalize advanced analytics solutions, delivering both predictive and point-in-time analytics for internal stakeholders and customers while leveraging AWS technologies.

Key Responsibilities

• Design, train, validate, and deploy predictive models, ensuring rigorous performance evaluation aligned with business objectives
• Produce point-in-time analytics and KPI scorecards to support operational decisions across various teams
• Build and maintain data pipelines on AWS, implementing medallion architecture patterns to refine operational data into analytics-ready datasets

Required Qualifications

• Bachelor's degree in Statistics, Mathematics, Supply Chain Management, or Computer Science; Master's degree preferred
• Demonstrated experience in the transportation, trucking, freight, or logistics industry with knowledge of operational data
• Proven track record of implementing customer-facing analytics products from idea to launch
• Hands-on experience with AWS analytics tools, including Amazon Redshift and related services
• Proficiency in SQL and at least one analytics-grade programming language, preferably Python