Senior Applied Scientist, Amazon Shipping (Forecasting and Optimisation), Gurugram
Job Description
Amazon Shipping is hiring a senior applied scientist in Gurugram to lead a team building large-scale forecasting and optimisation systems for Amazon’s global transportation network. The role sets scientific direction, mentors applied scientists and works with engineering and product leaders to put models into production. The posting names tree-based models, deep learning such as LSTMs and transformers, LLMs and reinforcement learning among the techniques used.
At a glance
- Role: Senior Applied Scientist, Amazon Shipping
- Posted: 11 September 2026
- Focus: Transportation forecasting and optimisation, team leadership
- Location: Gurugram, Haryana, India
- Job ID: 10537086
- Apply: open until filled (re-checked 13 October 2026)
About the Amazon Shipping science role
- Lead and grow a team of applied scientists, with technical guidance and career development
- Own the science vision and roadmap for ML in transportation planning and execution
- Guide model and system design across tree-based models, deep learning, LLMs and reinforcement learning
- Make models production-ready, scalable and robust, and own end-to-end business metrics for cost, reliability and customer experience
- Contribute to the wider ML community through publications and knowledge sharing
What Amazon is looking for
- At least 3 years of building machine learning models for business applications
- A PhD, or a master’s degree and at least 6 years of applied research experience
- Programming in Java, C++, Python or a related language
- Experience with neural deep learning methods and machine learning
Nice to have
- Modelling tools such as R, scikit-learn, Spark MLlib, MXNet, TensorFlow, NumPy and SciPy
- Large-scale distributed systems such as Hadoop and Spark
Pay and location
Amazon’s posting does not state a salary; pay is discussed during the hiring process. The role is based in Gurugram, India.
How to apply
Apply through the official Amazon job posting. Amazon’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 13 October 2026. Amazon lists the minimum and preferred qualifications on the posting; read both before applying. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Amazon
Official advertisement: www.amazon.jobs
How to prepare for this application
- Forecasting at scale: revise hierarchical and probabilistic forecasting, and how forecasts feed optimisation.
- Leadership: the role manages scientists, so prepare examples of hiring, mentoring and setting direction.
- Interpretability: the posting stresses robust and interpretable solutions; think about explaining model output to operations teams.
- RL and optimisation: be ready to say when you would use reinforcement learning rather than classical optimisation.
- Leadership Principles: Amazon interviews lean on them; prepare two or three STAR stories for each.
About Amazon in India
Amazon runs large science and engineering teams in India, including in Bengaluru, Hyderabad, Chennai, Pune and Gurugram. Applied scientists and data scientists work on machine learning problems across retail, logistics, advertising, devices, payments and cloud services.
