Job Information
Amazon Sr. Research Scientist, Amazon Customer Service in Seattle, Washington
Description
The Sr. Research Scientist will develop scientific algorithms, and implement Large Language Model (LLM) solutions to improve the customer experience. The Sr. Research Scientist will work closely with technology and product teams to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. As a Sr. Research Scientist at Amazon, you will apply scientific principles to support significant invention, develop code for POC, and will be involved in bringing their algorithms to production. You will also work on cross-disciplinary efforts with other scientists within Amazon.
Key job responsibilities
Drive actions at scale to provide efficient solutions for customers using scientifically-based methods, LLM and decision making.
Helping develop advanced algorithms to support production systems that take inputs from multiple models and make decisions.
Provide feedback loops for algorithms in production.
Utilizing Amazon systems and tools to effectively work with terabytes of data.
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
About the team
The Shipping Delivery and Support (SDS) Tech team’s mission is to enable successful deliveries through fast and efficient support experiences for our drivers, recipients, and associates. The science team utilizes advanced scientific methods, including LLM to support the business, and improve driver support quality and deliveries efficiency.
Basic Qualifications
PhD, or Master's degree and 5+ years of quantitative field research experience
3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
Experience communicating qualitative research methods and findings to non-qualitative researchers
Preferred Qualifications
Experience converting research studies into tangible real-world changes
Knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.