Data Scientist, Supply Chain

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Requirements:

• 2+ years’ experience in building machine learning and forecasting models for academic/enterprise applications
• Strong quantitative, statistical, and data mining knowledge, including experience with techniques like regression and ML algorithms.
• Experience manipulating and preparing large data sets to support advanced analytics
• Demonstrated ability to iteratively conceptualize, design and build data pipelines
• Hands on experience with common analysis and version control tools (SQL, Python, GitH)
• Demonstrable familiarity with code and programming concepts.
• Familiarity with cloud-based technologies such as AWS is a plus.

Responsibilities:

• Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges.
• Develop, deploy, and maintain ML models for forecasting commodities.
• Perform tests to ensure the accuracy of the models.
• Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders.
• Collaborate on project data requirements, gather and validate information, and apply judgment and statistical tests to devise problem-solving actions
• Help support pre-existing customer implementations.
• Work with a team of services professionals to deliver high-value products in a Software as a Service (SaaS) environment
• Report to the customer leadership teams on solutions and assist with decision making
• Potential for travel to customer sites