Position Details
About this role
Lead the development of AI/ML solutions to optimize supply chain operations, focusing on demand sensing, inventory management, and predictive analytics.
Key Responsibilities
- Architect AI/ML products
- Develop supply chain predictive models
- Lead reinforcement learning initiatives
- Build simulation frameworks
- Collaborate with stakeholders
Technical Overview
Environment involves advanced data science techniques, machine learning, reinforcement learning, simulation frameworks, and supply chain analytics tools, primarily using Python, R, and SQL.
Ideal Candidate
The ideal candidate is a senior data scientist with over 10 years of experience in AI/ML product development, specializing in supply chain analytics, demand sensing, and inventory optimization, with strong leadership and mentoring skills.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years of experience in data science or analytics, No experience with supply chain or operations research, Lack of proficiency in Python or R, No experience with AI/ML product development
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