Applied Scientist II, Amazon Shipping
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Software Engineering
In short
This role focuses on ML teams developing large-scale forecasting and optimization systems for Amazon's global transportation network. The Applied Scientist II will lead a team, define scientific vision, and guide model development using various ML techniques. The position involves ensuring production-ready solutions and influencing key business metrics.
Responsibilities
- Lead and grow a high-performing team of Applied Scientists, providing technical guidance, mentorship, and career development.
- Define and own the scientific vision and roadmap for ML solutions powering large-scale transportation planning and execution.
- Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning.
- Ensure models are production-ready, scalable, and robust through close partnership with stakeholders.
- Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions.
- Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability.
- Contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing.
- Review model performance and business metrics, guide technical design and experimentation, mentor scientists, and drive roadmap execution.
- Balance near-term delivery with long-term innovation while ensuring solutions are robust, interpretable, and scalable.
Requirements
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Desired Qualifications
- Experience using Unix/Linux
- Experience in professional software development
Benefits
- Inclusive culture that empowers Amazonians to deliver the best results for customers.
- Workplace accommodations and adjustments for individuals with disabilities during the application and hiring process.
#Applied Science#ML#Forecasting#Optimization#Transportation
Company
Amazon
Job Posted
1 week ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Hyderabad, India
Gurugram, India
Qualification
Master, Doctoral
Applicants
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