Title: Data ScientistLocation: 100% RemoteJob Type: ContractMandatory Skills
- Mathematical Optimization
- Advanced Programming
- Operations & Supply Chain Domain Expertise
- statistical modeling
- Machine LearningRole OverviewWe are seeking a highly analytical Data Scientist to serve as a technical cornerstone within our Supply Chain organization. This role sits at the intersection of Mathematical Optimization, Statistics, and Software Engineering, focusing on uncovering hidden insights and driving data-driven decision-making. You will be responsible for designing and deploying innovative prescriptive analytics solutions that optimize our global operations at strategic, tactical, and operational levels.Key Responsibilities
- Advanced Modeling: Develop and deploy complex mathematical programming models (MILP, NLP, etc.) to optimize long-term supply chain and manufacturing processes.
- End-to-End Analytics: Perform statistical analysis on diverse healthcare datasets (structured and unstructured) to extract actionable business intelligence.
- Algorithmic Development: Design and implement custom computational solutions using high-performance languages like Julia, Python, or Mosel.
- Cross-Functional Collaboration: Partner with stakeholders across the organization to translate ambiguous business problems into rigorous technical requirements and scalable solutions.
- Tool Integration: Leverage industry-leading solvers (Gurobi, CPLEX, BARON) to solve large-scale resource allocation, scheduling, and inventory challenges.Required Qualifications
- M.Sc. or Ph.D. in Operations Research, Industrial Engineering, Computer Science, Statistics, or a related quantitative field.
- Proven experience in mathematical programming and algorithm development for process optimization.
- Advanced coding skills in Python, Julia, or R, with hands-on experience using optimization solvers.
- Solid understanding of supply chain fundamentals (planning, inventory management, scheduling) and manufacturing business processes.Working knowledge of machine learning (regression, clustering, neural networks) and experience handling large-scale datasets.ThanksAatmesh