Implement new data workflows and use the data to discover insights that improve designs and processes
Have capability in data analysis and machine learning that can be applied to supply chain management
Analyze complex datasets, develop predictive models and provide actionable insights
Collaborate with cross-functional teams, including design engineering, logistics and IT to understand business needs and translate them into data-driven solutions
Design and conduct experiments to test hypotheses and validate models
Create and maintain dashboards and reports to communicate findings and track key performance indicators
Set up analytic workflows for data coming in from our suppliers
Will be using Machine Learning and AI tools to analyze data and identify insights
Identify strategies for optimizing supplier processes

At least 1 year of experience in the Data Science field (including internships and scholastic projects)
Problem solving
Project management
Proficient with Microsoft Tech Suite (Word, Excel, Powerpoint etc.)
Experience with Python (specifically data-oriented packages like Pandas, Numpy, Sklearn, Keras, etc.)
Experience with version control software such as Git/Github
Familiarity with machine learning techniques including both classic statistical approaches and neural networks
Masters degree in the areas of Mathematics, Statistics, Data Science, or related field

Supply Chain Data Scientist

Key skills