Applied Scientist I, Customer Behavior Analytics

Job Description

Are you seeking an environment where you can drive innovation? Do you want to apply learning techniques and advanced mathematical modeling to solve real-world problems? Do you want to play a key role in the future of Amazon's Retail business? This job is for you! The Customer Behavior Analytics (CBA) team is looking for motivated individuals with strong ML and analytical skills. The CBA team is responsible for the architecture, design, and implementation of tools used to understand customer behavior, estimate the economic value of Amazon programs like Prime, and guide program teams on prioritization, investment, and policy optimization decisions. Come and join us!

Amazon’s CBA team is looking for Applied Scientists who have deep knowledge in ML, Generative Modeling, Deep Learning, and Graph Neural Networks to identify patterns from high-dimensional behavior data that can be used as recommendations to improve the long-term trust and value for our customers.

Responsibilities

• Understand and mine large amounts of data, prototype, and implement new learning algorithms and prediction techniques to improve long-term causal estimation approaches.
• Collaborate with product managers and engineering teams to design and implement solutions for Amazon problems.
• Design, build, and deploy effective and innovative ML solutions to improve various components of our ML and causal inference pipelines.
• Publish and present your work at internal and external scientific venues in the fields of ML, Deep Learning, Generative Modeling, and Graph Neural Networks.

Basic Qualifications

• Experience programming in Java, C++, Python, or related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self-developed code.
• Have publications at top-tier peer-reviewed conferences or journals.

Benefits

• Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers.
• The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems.
• Excellent opportunities, and ample support, for career growth, development, and mentorship.

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 Amazon's career site.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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.