Sr Applied Scientist, Amazon Shipping
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering
In short
Lead ML teams building large-scale forecasting and optimization systems for Amazon's global transportation network. This role involves defining scientific vision, mentoring scientists, and partnering with engineering and product leaders to deliver production-grade ML solutions at scale, impacting customer experience and cost.
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 machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Desired Qualifications
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Benefits
- Inclusive culture
- Workplace accommodation for individuals with disabilities
#ML#machine learning#forecasting#optimization#transportation#supply chain#deep learning#Python#Java#C++
Company
Amazon
Job Posted
1 week ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Senior
Locations
Hyderabad, India
Gurugram, India
Qualification
Master, Doctoral
Applicants
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