Data Scientist

Key Responsibilities:

• Develop optimization algorithms, mathematical models, heuristics, and decision-support applications for automotive supply chain operations.
• Design and implement scalable, cloud-native solutions using AWS technologies.
• Analyze complex supply chain challenges across demand forecasting, inventory, production, transportation, logistics, and network optimization.
• Convert business and operational requirements into effective mathematical optimization models and algorithms.
• Integrate optimization engines with enterprise applications, APIs, data platforms, and automated data pipelines.
• Build and support production-grade optimization applications capable of processing large-scale operational datasets.
• Partner with supply chain planners, operations specialists, data engineers, and product teams to translate business needs into technical solutions.
• Required Qualifications:
• Bachelor’s or Master’s degree in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or a related discipline.
• Strong background in software development, algorithm design, and solving complex optimization problems.
• Practical experience developing cloud-based applications using AWS services such as EC2, S3, Lambda, Glue, Step Functions, ECS, EKS, RDS, DynamoDB, and/or SageMaker.
• Hands-on expertise with Gurobi for developing, implementing, and solving mathematical optimization models.
• Experience applying optimization techniques to supply chain, manufacturing, logistics, or related operational planning challenges.