Title: Data Scientist (Optimization - Gurobi)
Location: Dallas, TX
Work Mode: 4 days on site
We are seeking an Optimization Developer with experience in AWS cloud technologies to design, build, and support optimization solutions for complex supply chain problems in the automotive domain. The role involves working with large-scale operational data, developing optimization models, and deploying scalable cloud-based applications that improve planning, logistics, inventory, production, and network efficiency.
Key Responsibilities:
Design and develop optimization algorithms and decision-support solutions for automotive supply chain use cases.
Build scalable applications using AWS services and cloud-native architecture.
Analyze business problems in demand planning, inventory optimization, production scheduling, logistics, and network flow.
Translate supply chain requirements into mathematical models, heuristics, or optimization frameworks.
Integrate optimization engines with data pipelines, APIs, and enterprise systems.
Collaborate with supply chain planners, operations teams, data engineers, and product stakeholders.
Required Qualifications:
Bachelor s or Master s degree in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or related field.
Strong experience in software development and optimization problem solving.
Hands-on experience with AWS services such as EC2, S3, Lambda, Glue, Step Functions, ECS, EKS, RDS, DynamoDB, or SageMaker.
Hands-on experience with Gurobi optimization solver for building and solving mathematical optimization models.
About AgreeYa:
AgreeYa is a global systems integrator delivering a competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 1,800+ professionals across offices. AgreeYa works with 550+ organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public Sector, Pharma & Biotech, Retail, Client, and others. Please visit us at for more information.
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