Title: Data Scientist Location: 100% Remote Job Type: ContractMandatory Skills • Mathematical Optimization • Advanced Programming • Operations & Supply Chain Domain Expertise • statistical modeling • Machine Learning Role Overview We 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 inPython, 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. Thanks Aatmesh