Sr Applied Scientist, Amazon Shipping

Amazon is hiring a Sr Applied Scientist, Amazon Shipping in Gurugram, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this applied scientist role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include TensorFlow, scikit-learn and Python.
Level classifies it as a senior role.
Level lists 21,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

Senior applied scientist leading teams to build large-scale forecasting and optimization machine learning models for Amazon's transportation network.

tensorflowscikit-learnpythonjavacpytorchspark

machine-learningdeep-learningforecastingoptimization

Lead ML teams building large-scale forecasting and optimization systems that power Amazon’s global transportation network and directly impact customer experience and cost.

As an Sr Applied Scientist, you will set scientific direction, mentor applied scientists, and partner with engineering and product leaders to deliver production-grade ML solutions at massive scale.

Key job responsibilities
1. Lead and grow a high-performing team of Applied Scientists, providing technical guidance, mentorship, and career development.
2. Define and own the scientific vision and roadmap for ML solutions powering large-scale transportation planning and execution.
3. Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning.
4. 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.
5. Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability.
6. Help contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing.

A day in the life
Your day includes reviewing model performance and business metrics, guiding technical design and experimentation, mentoring scientists, and driving roadmap execution. You’ll balance near-term delivery with long-term innovation while ensuring solutions are robust, interpretable, and scalable. Ultimately, your work helps improve delivery reliability, reduce costs, and enhance the customer experience at massive scale.

Basic qualifications

- 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

Preferred 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Sr Applied Scientist, Amazon Shipping at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr Applied Scientist, Amazon Shipping is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, HR, Gurugram.
The job was posted on October 29, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningDeep learningForecastingOptimizationTensorFlowscikit-learnPythonJava

Also common in applied scientist jobs at this level

Generative AI NLP Computer vision AWS PyTorch Fine-tuning

Pay

Typical applied scientist job: $169k

This posting doesn't list pay. Use the typical applied scientist figure when pay comes up. See applied scientist jobs

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where forecasting was part of your work. What did you do?
Tell me about a project where optimization was part of your work. What did you do?
Walk me through how you've used TensorFlow in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Deep learning, Forecasting, Optimization, and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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