Title: Data Scientist
Location: 100% Remote
Job Type: Contract
Mandatory 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 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.
Thanks
Aatmesh
aatmesh.singh@ampstek.com