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Research Scientist, Special Project

Amazon

Seattle, WAResearch$136–184K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$136–184K/yr
Location
Seattle, WA
Role Type
Research
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Research Scientist will join Amazon’s Special Projects team, which develops new products and services intended to positively impact customers’ lives. The role leads analytical methods for product characterization, makes data-driven decisions, advances program development with stakeholders, and manages third-party vendors. The team emphasizes work-life balance, mentorship, and career growth.

Skills & qualifications

RequiredNice to have

Skills

Quantitative Field ResearchScientific Feasibility AssessmentExperimental Data AnalysisObservational Data AnalysisAgile DevelopmentExperimental DesignMultidisciplinary CollaborationLife Science MethodsData AnalysisAnalytical Methodologies

Qualifications

PhD or Master's + 4+ Years Quantitative Field Research4+ Years Quantitative Field Research Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Description

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

How this job compares

Set against the 2,216 open Research Scientist jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This posting$136–184K/yr
  • Washington median$157–232K/yr126 salary ranges
  • US median$142–218K/yr1,475 salary ranges

This range's midpoint, $160K, is 19% below the Washington median midpoint ($197K) — in the lowest quarter of Research Scientist salary ranges in Washington.

Openings
Olive Jobs lists 197 open Research Scientist jobs in Washington and 2,216 across the US. 3% of them nationwide are listed as remote or flexible.
Hiring the most in Washington
Experience
This posting asks for at least 4 years of experience; Research Scientist postings that state a minimum ask for 3 years at the median (1,148 postings).
Education
1,097 of the 2,216 open Research Scientist jobs (50%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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