Data Scientist and Analytics Engineer

Virtual Vocations Inc

United States

United States

About

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

United States

Languages

English

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