Six Figure Work

Data Scientist, NACP Analytics, NACP Analytics

Amazon

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

Base salary $136K  to $184K

Employer-published annual base salary, USD. Advertised base range in Bellevue, WA

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  • LocationBellevue, WA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

Are you excited about driving high-visibility, strategic analytics solutions to streamline Amazon's capacity planning? NACP - Analytics & Science is seeking an experienced Data Scientist to lead data science and forecasting initiatives in partnership with Data Engineers, BIEs, Supply Chain leaders, and Engineers. Our mission is to simplify analytics with innovative data science/AI products.

This role is for a motivated individual with a strong statistical and technical background to join us as a Data Scientist. You will be responsible for leading best-in-class data science initiatives, including forecasting and utilizing generative AI tools to address supply chain planning bottlenecks and improve Placement and Cost to Serve metrics for Amazon warehouses. You will bring your data science and statistics background to support key capacity planning initiatives. You will continue to raise the bar for creating scalable, efficient, and accurate models utilizing large-scale data sets.

Key job responsibilities

  • Develop new forecasting models or improve existing approaches using scalable techniques.
  • Extract data for analysis and model development from large, complex datasets to explain demand trends.
  • Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production.
  • Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders.
  • Drive innovation and best practices in applied research across the Amazon research science community.

Basic Qualifications

  • Bachelor's degree
  • 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

  • Master's degree
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company

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.

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, WA, Bellevue - 136,000.00 - 184,000.00 USD annually

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

Pay in context

This role's base floor ($136,000) is above 19% of the 329 Data & ML roles in Washington listed on this site; 21 others list the same floor. Their median floor is $143,700; the middle half runs from $136,000 to $168,000.

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 Scientist, NACP Analytics, NACP Analytics (this listing)$136K - $184K
Sr. Product Manager, Legal Technology$136,000 - $184,100
Research Scientist, WW Sustainability$136K - $184K
Power Engineer, Rack Power$136K - $184K
Security Engineer, Platform Security$136K - $184K
Product Manager III, Cross Border Team$136,000 - $184,100
Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science$136K - $184K

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

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-07-07
Where this pay comes from

Location as the employer wrote it: US, WA, Bellevue

USA, WA, Bellevue - 136,000.00 - 184,000.00 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.