Applied Scientist II, Last Mile
Amazon's Last Mile Science team is seeking an Applied Scientist to develop machine learning and GenAI solutions for complex delivery network planning. The role involves turning high-level business requirements into mathematical models to optimize capacity, routing, and delivery strategy. Candidates must have strong research credentials, programming proficiency, and the ability to contribute to production-grade software systems. This is a high-impact position within a global logistics network.
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Experience
4+ years
Function
Research
Work mode
Onsite, India
Company
Tier 1
What you will work on
Amazon's Last Mile Science team is seeking an Applied Scientist to develop machine learning and GenAI solutions for complex delivery network planning. The role involves turning high-level business requirements into mathematical models to optimize capacity, routing, and delivery strategy. Candidates must have strong research credentials, programming proficiency, and the ability to contribute to production-grade software systems. This is a high-impact position within a global logistics network.
TAL's take
Tier 1 company with high-impact research role in logistics and supply chain optimization.
Well-defined scope focusing on last-mile delivery network planning and model development.
Salaries at Amazon
25.8 LPA average
Based on 3,341 Grapevine salary entries for Amazon.
Research
0 - 2 years | L3
5 LPA average
Range: 5 - 5 LPA
Research
2 - 4 years | L4
52 LPA average
Range: 36 - 60 LPA
Research
4 - 6 years | L5
15 LPA average
Range: 15 - 15 LPA
Research
6 - 8 years | L4
41 LPA average
Range: 24 - 60 LPA
Must haves
- 3+ years building models for business application
- PhD or Master's degree plus 4+ years of relevant experience
- Experience in patents or publications at top-tier conferences
- Programming proficiency in Java, C++, or Python
- Knowledge of algorithms, data structures, and numerical optimization
Tools and skills
Nice to have: unix, linux.
About the company
Amazon is a Tier 1 global company with a massive engineering footprint.
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