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Data Scientist, SCOT (Supply Chain Optimization Technologies) RoW Tech

Amazon is hiring a Data Scientist, SCOT (Supply Chain Optimization Technologies) RoW Tech in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
  • The posting mentions Reinforcement learning, AI agents and data science among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Build and scale AI-based optimization and predictive models for international supply chain decision systems.

Reinforcement learningAI agents
data-sciencepredictive-modelingsupply-chain-optimizationoperations-research
SCOT's RoW Regional team is seeking an experienced and motivated Data Scientist to help optimize, enhance, and scale Supply Chain decision algorithms in countries beyond US/EU. The focus will be on enhancing and also building new solutions solving for forecasting, buying, placement and inventory health management issues in 10 stores.

You will work closely with Product Managers Tech, BIEs, SDEs, Supply Chain Managers, and other Scientists across US and EU to build scalable, high insight- high impact products and own improvements to business outcomes within your area, enabling execution of WW and local solutions for next generation Supply Chain systems.

You will leverage your expertise in modeling, maths, algorithms and more importantly AI to analyze diverse and large datasets to uncover insights and build working models that help minimize dependence on manual supply chain decisions within the vast landscape and selection in which Amazon operates. Areas of work would include: 1) Building OR, RL, Agentic AI based models for automated supply chain optimization decisions; integrating with the central tech solutions owned by SCOT WW, 2) Creating decision frameworks to choose between multiple models to solve for a given supply chain problem, 3) Build visibility, audit and decision frameworks that help operate complex and nuanced supply chains across 10 countries.

Key job responsibilities
You will be responsible for researching, experimenting and analyzing predictive and optimization models. You will work on ambiguous and complex business and research science problems with large opportunities. You are an analytical individual who is comfortable working with cross-functional teams and systems. Significantly AI Savvy. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams.

Key job responsibilities
- Interact with product managers to understand their business requirements and operational processes.
- Frame business problems into scalable solutions.
- Adapt existing and invent new techniques for solutions.
- Be the proponent of using latest techniques in data science and leveraging AI to fasten experimentation and model launch.
- Gather data required for analysis and model building.
- Collaborate with product and engineering teams to design rigorous experiments to evaluate the impact of new features or algorithms.
- Create and track accuracy and performance metrics.
- Prototype models by using high-level modeling languages such as R or in software languages such as Python.
- Familiarity with transforming prototypes to production is preferred.
- Create, enhance, and maintain technical documentation.
- Represent the team and contribute to science forums within Amazon

About the team
Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, Amazon’s Supply Chain Optimization Technology (SCOT) organization is for you. At SCOT, we solve deep technical problems and build innovative solutions in a fast-paced environment working with smart & passionate team members. (Learn more about SCOT: http://bit.ly/amazon-scot)

Basic qualifications

- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment

Preferred qualifications

- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company

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

Data Scientist, SCOT (Supply Chain Optimization Technologies) RoW Tech at Amazon rates 85 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data SciencePredictive ModelingSupply Chain OptimizationOperations ResearchReinforcement learningAI agents

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$168k

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

Questions you could be asked

  1. Tell me about a project where data science was part of your work. What did you do?
  2. Tell me about a project where predictive modeling was part of your work. What did you do?
  3. Tell me about a project where supply chain optimization was part of your work. What did you do?
  4. Tell me about a project where operations research was part of your work. What did you do?
  5. Walk me through how you've used Reinforcement learning in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Science, Predictive Modeling, Supply Chain Optimization, Operations Research, and Reinforcement learning. 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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