Job Responsibilities:
- 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 5+ 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
Offer Details:
- Remote
- Full-time dedication: 40 hours/week with verlap 4 hours with PST
- Location: LATAM
Important note: Due to the high volume of applications, we are unable to provide individual feedback at this stage. Only candidates shortlisted for the next steps will be contacted by our team.