Senior Logistics Optimization Expert
6 days ago
About Amazon's Fulfillment Optimization
Amazon is revolutionizing the logistics industry with its cutting-edge fulfillment optimization technology. As a Senior Applied Scientist in our Fulfillment Planning & Execution Science team, you will play a critical role in developing machine learning solutions that optimize our global supply chain operations.
The ideal candidate will have a strong background in machine learning, data analysis, and problem-solving. You will work closely with cross-functional teams to design, develop, and deploy scalable ML models that improve operational efficiency, reduce costs, and enhance customer satisfaction.
Your Key Responsibilities:
- Develop and deploy machine learning models for outbound transportation planning systems
- Collaborate with software engineering teams to integrate ML models into production systems
- Lead and mentor junior scientists in the team
- Design and implement efficient automated processes for large-scale data analysis and model development
What You'll Need:
- PhD in econometrics, statistics, industrial engineering, or equivalent quantitative field
- 5+ years of experience in building machine learning models for business applications
- Strong programming skills in Java, C++, Python, or related languages
- Experience with neural deep learning methods and machine learning frameworks
Salary Range: $150,400 - $260,000 per year (dependent on location)
About Our Team:
The Fulfillment Planning & Execution Science team is a diverse group of scientists and engineers who share a passion for optimizing complex supply chain operations. We are committed to delivering innovative solutions that drive business growth and improve customer experiences.
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