Six Figure Work

Data Science Manager, Procurement

Amazon

Company websiteamazon.com (Amazon, opens in new tab)

Base salary $175,100  to $236,900

Employer-published annual base salary, USD. Advertised base range in Irvine, CA

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  • LocationIrvine, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (56 min ago) · observed since

About this job

Amazon's Global Procurement Organization is on a mission to transform how procurement works at Amazon scale. We build the technology that powers billions of dollars in purchasing decisions, and We're looking for a Data Science Manager to lead the delivery of technical solutions and programs focused on inventory management of non-inventory supplies across Amazon's global operations. This is a high-impact role at the intersection of technology, operations, and business strategy — where your work directly influences how Amazon procures and manages supplies at scale.

Basic Qualifications

  • 5+ years of building quantitative solutions as a scientist or science manager experience
  • 2+ years of scientists or machine learning engineers management experience
  • 5+ years of applying statistical models for large-scale application and building automated analytical systems experience
  • PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
  • Knowledge of Python or R or other scripting language

Preferred Qualifications

  • Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
  • Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Irvine - 175,100.00 - 236,900.00 USD annually

Source: Amazon · View original posting (opens in new tab)

Pay in context

This role's base floor ($175,100) is above 39% of the 1,502 Data & ML roles in California listed on this site. Their median floor is $187,000; the middle half runs from $159,200 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Amazon roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Amazon roles with the nearest advertised base floor
RolePublished base
Data Science Manager, Procurement (this listing)$175,100 - $236,900
Manager III, SecEng, AppSec AI$175,100 - $236,900
Manager, Hardware Development - GPU/Accelerator, Annapurna ML Trainium$175,100 - $236,900
Security Engineering Manager, Leo Security$175,100 - $236,900
Security Engineering Manager, Stores AppSec$175,100 - $236,900
Security Engineering Manager, Stores Org Mobile Security$175,100 - $236,900
Hardware Development Manager, In Rack Power$175,100 - $236,900

Same $100K to $400K scale as every card. All Amazon roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-17
Where this pay comes from

Location as the employer wrote it: US, CA, Irvine

USA, CA, Irvine - 175,100.00 - 236,900.00 USD annually

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.