Research Scientist, Special Projects

Amazon

Dallas, Northern (TX, KY)

Hybrid

USD 136,000 - 184,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon specializes in pioneering new products and services through an interdisciplinary Special Projects team. You will work with talented scientists, engineers, and product managers to translate research into market-ready solutions.

The role emphasizes intellectual curiosity, collaboration, and a strong focus on delivering impact for customers, with a culture that values inclusion and career growth.

Qualifications

  • Master's degree, or Bachelor's degree and 5+ 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

Responsibilities

  • Work with cross-functional teams to develop exciting products for consumers
  • Collaborate with scientists, engineers, and product managers to bring ideas to market
  • Apply scientific principles to business problems and drive data-driven decisions

Skills

Quantitative research
Data analysis
Independent work
Cross-team collaboration
Communication

Education

Master's degree in a quantitative field
Bachelor's degree + 5+ years quantitative field research

Tools

R
Stata
Python

Job description

Job ID: 10522268 | Amazon.com Services LLC

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 nextlevel. 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.

As a Research Scientist, you will work with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams. Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market. At the intersession of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers.

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.

Basic Qualifications
  • Master's degree, or Bachelor's degree and 5+ 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 developing and implementing new strategies and procedures
  • Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
  • Experience working independently with minimal supervision, or experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • Experience working effectively with science, data processing, and software engineering teams
  • Experience driving internal cross-team collaboration
  • Expertise with cutting edge life science-related tools and concepts
  • Excellent analytical and organizational skills, with great attention to detail and record keeping.
  • Work hands-on within a team of researchers to extend and interpret advanced 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 .

Preferred Qualifications
  • Experience developing and implementing new strategies and procedures
  • Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
  • Experience working independently with minimal supervision, or experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • Experience working effectively with science, data processing, and software engineering teams
  • Experience driving internal cross-team collaboration
  • Expertise with cutting edge life science-related tools and concepts
  • Excellent analytical and organizational skills, with great attention to detail and record keeping.
  • Work hands-on within a team of researchers to extend and interpret advanced 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

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

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