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Sr. Applied Data Scientist

Sr. Applied Data Scientist

Job ID 
US-CA-San Diego
Posted Date 
Company Services, Inc.
Position Category 
Machine Learning Science
Recruiting Team 

Job Description

At Amazon, we're always working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a customer-focused Sr. Applied Data Scientist who is interested in impacting key business decisions and customer experiences for one of Amazon’s key business verticals, Kindle Content. We need your passion, innovative ideas, and creativity to help us deliver on our ambitious goals.

As a Sr. Applied Data Scientist you will be a key member of the Kindle Content Analytics team, which includes applied data scientists, economists, business analysts, data engineers and business intelligence engineers. Additionally, you will participate in the broader Amazon ML community and have access to the ‘Best of Amazon’ in computing, science, data, technology, innovation and thought leadership. This role will report into the Global Head of Analytics for Kindle Content, and is based in Seattle, WA.

Your work will directly impact customer experience and business results by making Kindle customer communications more relevant, timely, and personalized, helping customers get the most out of their Kindle experience, whether it is discovering their next favorite book or finding a great deal on a book they always wanted to read.

You will be responsible for using reading, buying and browsing data to build a set of predictive models/algorithms that will sit at the heart of Kindle Content marketing systems, and partner with software development engineers on turning your models/algorithms into scalable products that deliver great customer experiences.

Basic Qualifications

· MS. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
· 5+ years of hands-on experience in predictive modeling, algorithm development and big data analytics
· Skills with Java, C++, or other programming language, as well as with Python, R, or similar scripting language

Preferred Qualifications

The ideal candidate will have a PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field, and 7+ years of relevant work experience, including:
· Significant peer reviewed scientific contributions in relevant field.
· Extensive experience applying theoretical models in an applied environment.
· Expertise on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametric methods.
· Strong Experience in Structured Prediction and Dimensionality Reduction.
· Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar).
· Proven track record of production achievements in language, search and personalization.
· Strong fundamentals in problem solving, algorithm design and complexity analysis.
· Strong personal interest in learning, researching, and creating new technologies with high commercial impact.
· Experience with defining organizational research and development practices in an industry setting.
· Proven track in leading, mentoring and growing teams of scientists (teams of five or more scientists).
· Strong communication and data presentation skills.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.