Sr Applied Scientist, Amazon Shipping
Amazon Web Services (AWS) (company site, opens in a new tab)6+ yrsGurugramOn-siteDirect career pageEst. 35–65 LPA
Posted 21h ago
Reach people at Amazon Web Services (AWS)
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Amazon Web Services (AWS) you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead and grow a team of Applied Scientists developing large-scale ML forecasting and optimization systems for Amazon's global transportation network.
- Define and own the scientific vision and roadmap for ML solutions impacting transportation planning, customer experience, cost, and network reliability.
- Ensure production-ready, scalable ML models employing techniques like tree-based models, deep learning, LLMs, and reinforcement learning, collaborating with Product and Engineering leaders.
Minimum Requirements
- 3+ years experience building machine learning models for business applications.
- PhD or Master's degree with 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or related languages.
- Experience with neural deep learning methods and machine learning fundamentals.
Ideal Candidate Profile
- Experienced in leading scientific teams and mentoring Applied Scientists in ML-driven operational domains.
- Strong background in large-scale ML system design including various modeling techniques (tree-based, deep learning, LLMs, RL).
- Ability to manage end-to-end business metrics and collaborate cross-functionally with Product, Operations, and Engineering teams.