Applied Scientist III, Relationship Data Services

DESCRIPTION

Want to solve the hardest problems in e-commerce, allowing customers to discover what they are looking for from billions of catalog items? Interested in using LLMs at scale to improve Amazon's search experience and detail page? Want to operate on world's largest catalog to help our customers across the planet to discover relevant products within seconds? Relationship Data Services are core to Amazon websites, mobile apps, Alexa, and physical stores serving millions of requests per second at single-digit millisecond latency. We provide the definitive related product sets to power product discovery and shopping experiences. Our team owns highly available distributed micro-services, Machine-learning and rule-based validation systems, data stores containing billions of records, and software systems that make related product sets available across Amazon. Your responsibilities as a Data Scientist include modeling complex problems, discovering insights, and building algorithms using statistical models, machine learning and large language models to enhance the quality of Amazon’s product catalog. You will work alongside with engineering team to scale the machine learning solutions to fit Amazon Catalog scale of terabytes of data that is changing at a rapid speed. We are seeking an innovative and technically strong Applied Scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decision-making problems, with data coming from various data sources. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.

Key job responsibilities
Ability to understand a business problem and the available data and identify what statistical, ML and Generative AI techniques can be applied to answer a business question
Advance our analytics techniques, including statistical analysis and complex data mining, to deliver faster, deeper insights that shape Amazon’s search and detail page experience for product variations.
Understand what data is available, where, and how to pull it together. Work with partner teams where needed to facilitate permissions and acquisition of required data
Lead the adoption of Gen AI and ML-based approaches across data science practice to generate metrics at scale.
Build production ready advanced analytics solutions to drive effective business decisions.
Communicate complex thinking easily at all levels.
BASIC QUALIFICATIONS

4+ years of applied research experience
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.