Role at a glance
- Job function
-
AI & Data Data Science
- Salary
- $136K – $184K/yr
- Location
- Seattle, Washington, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelor's, Master's
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We’ll check it against the original posting.
Qualifications
Required
- 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
- 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
About the role
Original posting provided by amazon
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.
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.