Data science techniques, Large Language Models - LLMs, Machine learning techniques, MATLAB Programming, Python Programming, R Programming, SAS, SQL, Statistical modeling
BASIC QUALIFICATIONS
DESCRIPTION
Amazon is one of the most popular sites in the US. Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers world-wide.
Our team leads the data science and analytics efforts for the search page and we own multiple aspects of understanding how we can measure customer satisfaction with our experiences. This include building science based insights and novel metrics to define and track customer focused aspects.
We are working on a new measurement framework to better quantify and qualify the quality of the search customer experience and are looking for a Senior Data Scientist to lead the development and implementation of different signals for this framework and tackle new and uncharted territories for search engines using LLMs.
Key job responsibilities
In this role, you will partner with data engineers, business intelligence engineers, product managers, software engineers, economists, and other data scientists.
Who you are
You are a Data Scientist with an expertise in Machine learning and statistical models. You are comfortable with a higher degree of ambiguity, knows when and how to be scrappy, build quick prototypes and proofs of concepts, innate ability to see around corners and know what is coming, define a long-term science vision, and relish the idea of solving problems that haven’t been solved at scale. As part of our journey to learn about our data, some opportunities may be a dead end and you will balancing unknowns with delivering results for our customers. Along the way, you’ll learn a ton, have fun and make a positive impact at scale.
About the team
Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), Earth's most customer-centric company and one of the world's leading internet companies. We provide a highly customer-centric, and team-oriented environment.
PREFERRED QUALIFICATIONS
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/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.
Amazon Science examines the company’s approach to scientific innovation. Amazon believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields.
Toronto, ON, Canada
2-4 year
Arlington, VA, USA
2-4 year