Sr Applied Scientist, Amazon Shipping

Lead applied scientists developing large-scale forecasting and optimization systems for Amazon Shipping’s global transportation network. Set the scientific direction for production-grade machine learning solutions that improve delivery reliability, customer experience, cost, and network performance. The listed job locations are Hyderabad, Telangana, and Gurugram, Haryana, India.

Responsibilities

• Lead and develop a team of Applied Scientists through technical guidance, mentorship, and career development. Define the scientific vision and roadmap for transportation planning and execution.
• Guide model and system design using techniques including tree-based models, deep learning such as LSTMs and transformers, large language models, and reinforcement learning. Review model performance, business metrics, technical designs, and experiments.
• Work with Product, Operations, and Engineering leaders to deliver scalable, robust, interpretable, production-ready solutions that support proactive decisions and corrective actions. Own business metrics tied to customer experience, cost optimization, and network reliability.
• Contribute to the broader machine learning community through publications, conference submissions, and internal knowledge sharing.

Required qualifications

• 3+ years of experience building machine learning models for business applications.
• PhD, or a master’s degree and 6+ years of applied research experience.
• Programming experience in Java, C++, Python, or a related language; experience with neural deep learning methods and machine learning.

Preferred qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLlib, MXNet, TensorFlow, NumPy, and SciPy.
• Experience with large-scale distributed systems such as Hadoop and Spark.