Six Figure Work

Research Scientist, Special Project

Amazon

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

Base salary $136K  to $184K

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

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  • LocationSeattle, WA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (4 h ago) · observed since

About this job

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.

Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.

Key job responsibilities

Lead analytical methods essential for product characterization;

Make data driven decisions with long term vision;

Work effectively with stakeholders to advance program development;

Manage 3rd party vendors to deliver analytical milestones;

Basic Qualifications

  • PhD, or Master's degree and 4+ years of quantitative field research experience
  • Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
  • Experience analyzing both experimental and observational data sets

Preferred Qualifications

  • Experience with agile development
  • Experience with experimental design
  • Ability to work within multidisciplinary teams at the interface of life science and computer science.
  • Expertise with cutting edge life science methods and concepts.
  • Familiarity with data analysis tools and methodologies that are commonly used in modern data analysis.
  • Work with a team of researchers to extend and interpret advanced analytical methodologies.

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, Seattle - 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 357 Data & ML roles in Washington listed on this site; 22 others list the same floor. Their median floor is $143,700; the middle half runs from $136,000 to $168,100.

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 8, 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
Research Scientist, Special Project (this listing)$136K - $184K
Sr. Operations Manager$135,000 - $182,700
Sr. Operations Manager$135,000 - $182,700
Sr. Operations Manager$135,000 - $182,700
Sr. Operations Manager, HOU6$135,000 - $182,700
Sr. Operations Manager, NACF AR Operations$135,000 - $182,700
Sr. Operations Manager$135,000 - $182,700

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
2026-11-05
Where this pay comes from

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

USA, WA, Seattle - 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.

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