Manager III, Data Science - AMZ14164.12

Amazon is hiring a Manager III, Data Science - AMZ14164.12. It pays $175k-$237k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting mentions Python, SQL and Machine Learning Infrastructure among its tools and skills.
Level classes it as a lead role.
Amazon has 21,000+ other open roles on Level.
Posted within the past two weeks.

AI in this role

Lead a team of data scientists in developing and deploying machine learning models for global infrastructure capacity planning and forecasting.

pythonsqlmachine-learning-infrastructure

machine-learningdata-sciencepredictive-modelingcapacity-planningleadership

Employer: Amazon Data Services, Inc.
Position: Manager III, Data Science - AMZ14164.12
Location: Herndon, VA

Multiple Positions Available:

1. Lead a team of data scientists in developing and
deploying machine learning models for infrastructure
capacity planning and demand forecasting at global
scale.
2. Design predictive models and statistical frameworks to
optimize resource utilization and inform long-term
infrastructure investment decisions.
3. Develop risk-based planning approaches utilizing
advanced statistical methods and ML techniques to
quantify uncertainty and set operational targets.
4. Build and maintain end-to-end ML pipelines for model
training, inference, and monitoring in production
environments.
5. Collaborate with engineering, product, and finance
partners to translate complex business requirements
into quantifiable metrics and automated decisionsupport systems.
6. Design experimentation frameworks and model
validation methodologies to ensure accuracy and
reliability of forecasts.
7. Lead weekly business reviews of model performance,
presenting findings and recommendations to senior
leadership.
8. Manage and mentor a team of data scientists and
engineers across multiple levels, driving best practices
in ML development, code quality, and production
deployment.
9. Utilize Python, SQL, and cloud-based ML infrastructure
to deliver scalable data science solutions.

(40 hours / week, 8:00am-5:00pm, Salary Range $175100 - $236900)

Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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Basic qualifications

A Master’s degree or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related quantitative discipline and 5 years of experience in the job offered or related occupation. In the alternative, a Bachelor’s degree or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related quantitative discipline followed by 7 years of progressively responsible experience in the job offered or related occupation.
Experience must include:
5 years of experience applying statistical and machine learning models to large-scale systems;
2 years of experience leading teams in a data science or machine learning environment;
5 years of experience building automated analytical or ML pipeline systems;
5 years of experience in SQL; and
5 years of experience in Python.

The pay range for this position in Herndon, VA is $175100 - $236900 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Virginia Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

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Preferred qualifications

All applicants must meet all the above listed requirements.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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

Manager III, Data Science - AMZ14164.12 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

Manager III, Data Science - AMZ14164.12 is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $175k-$237k a year.
The role is based in US, VA, Herndon.
The job was posted on October 22, 2026.
Seniority: lead.
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 learningData SciencePredictive ModelingCapacity PlanningLeadershipPythonSQLMachine Learning Infrastructure

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 data science was part of your work. What did you do?
Tell me about a project where predictive modeling was part of your work. What did you do?
Tell me about a project where capacity planning was part of your work. What did you do?
Tell me about a project where leadership was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine learning, Data Science, Predictive Modeling, Capacity Planning, and Leadership. 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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