Mavila Consulting
Mavila Consulting

Data Scientist

Mavila Consulting

Data Scientist

Data (Data Engineer, Data Scientist, Data Analyst)LATAMSeniorRemote
Mathematical OptimizationPythonOperations ResearchMachine LearningGurobiSupply Chain ManagementManufacturingSASJavaInventory ManagementScheduling

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.

Posted 10/14/2026