Data Scientist

Responsibilities :

• Implement predictive models for commodity demand, supply availability, estimated arrival times, and potential delays.
• Solve complex problems using mechanistic and statistical approaches.
• Develop new methods to optimize supply chains.
• Enhance our logistics simulations and market optimization algorithms.
• Implement predictive models for commodity demand, supply availability, estimated arrival times, and potential delays.

Requirements:

• 5 years of experience in a fast-paced environment.
• Proficiency in designing and implementing AI tools using Go ..
• Strong background in algorithms, optimization, reinforcement learning, and artificial neural networks.
• Ability to execute tasks independently and solve problems efficiently.
• Familiarity with function/path optimization and algorithms like linear programming, 

Key Skills:

• Statistical Analysis and Mathematics. 
• Programming and Software Engineering. 
• Data Manipulation and Visualization. 
• Machine Learning & Artificial Intelligence.
• Deep Learning.
• Natural Language Processing.
• Big Data. 
• Cloud computing.