Make use of and apply job practices, techniques, standards, principles, theories, and concepts
Provide solutions to a variety of technical problems of moderate scope and complexity.
Work under general supervision, special assignments.
makes sound technical judgment and overall adequacy
Contribute to the completion of specific project milestones
Interact primarily with internal personnel and infrequently with inter-organizational and external customers on routine matters

2+ years of experience in forecasting, planning, analytics, and supply chain processes
2+ years of experience in aerospace, defense, logistics, or large-scale manufacturing environments
2+ years of experience in Demand Forecasting and/or Data Simulation
Experience with RStudio and/or SQL knowledge
Bachelor's degree in business administration, Computer Science, Information Systems, Statistics, Industrial Engineering or a related field is mandatory.
Programming experience in Python
Experience in Data Analytics and Statistics modelling experience
Experience in Tableau, Dataiku, Gitlab or similar data visualization tools
Experience in Machine Learning, Natural Language Processing (NLP)
Experience in SAP and/or Servigistics
Experience with cloud-based data platforms such as AWS, Azure
Experience in Operations Research from an airline, OEM, logistics company, etc.
Professional certifications in data analytics or specific BI platforms (e.g., AWS, Microsoft, SAS) can be a plus.

Data Scientist

Key skills