Applied Scientist I, Amazon Shipping

Amazon Amazon · Big Tech · IN, HR, Gurugram · Applied Science

This role focuses on building and scaling large-scale forecasting and optimization systems for Amazon's global transportation network, impacting customer experience and cost. The scientist will guide model and system design using various ML techniques including deep learning and LLMs, ensure production readiness, and partner with stakeholders to drive decision-making and business metrics.

What you'd actually do

  1. Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning.
  2. Ensure models are production-ready, scalable, and robust through close partnership with stakeholders.
  3. Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions.
  4. Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability.
  5. Help contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing.

Skills

Required

  • Experience programming in Java, C++, Python or related language
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Nice to have

  • Experience implementing algorithms using both toolkits and self-developed code
  • Have publications at top-tier peer-reviewed conferences or journals

What the JD emphasized

  • production-ready
  • scalable
  • robust
  • publications at top-tier peer-reviewed conferences or journals

Other signals

  • large-scale forecasting
  • optimization systems
  • transportation network
  • customer experience
  • cost optimization