Data Scientist

• Run statistical analysis of structured and unstructured data sets
• Integrate data-driven mathematical models focusing on long-term decision-making processes
• Build computational solutions using programming languages like Julia, Python, or Mosel
• Assist in managing various working relationships to gather all necessary information required to solve business problems

Job Requirements:

• M.Sc. in Operations Research, Industrial Engineering, Chemical Engineering, Computer Sciences, Statistics, Machine Learning, and Artificial Intelligence, or a related discipline
• At least 3+ years of relevant experience as a Data Scientist
• Thorough understanding of mathematical optimization, including algorithm development
• Experience in modeling and object oriented programming
• Must have deep knowledge of manufacturing and related business processes
• Proven experience in building mathematical programming models for optimizing different processes
• Must be well-versed with basic knowledge of supply chain and operations management processes - planning, scheduling, and inventory management
• Familiarity with data mining algorithms and machine learning techniques (regression, decision trees, probability networks, association rules, clustering, neural networks, Bayesian models) is required
• Ability to work on large datasets, handling of healthcare-relevant datasets, and understand data analysis workflows are necessary
• Expertise in one or more programming languages like R, Python, Julia, SAS, or Java
• Familiarity with process optimization tools - Gurobi, CPLEX, BARON
• Must have excellent proficiency in English - written and verbal