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Research Scientist - Pricing and Advertising

Research Scientist - Pricing and Advertising

Job ID 
Posted Date 
Company Services, Inc.
Position Category 
Research Science
Recruiting Team 
North American Teams - Content/Device

Job Description

Ever wonder what it's like to put the power of data and machine learning to work managing a global economy through dynamic pricing, promotions, and advertising?

The Amazon Appstore team is looking for a Data Scientist to help us build machine learning applications for our pricing and advertising systems and drive the direction of our fast-moving products based on data science. Responsibilities include:
  • Predict future customer behavior and business conditions (Machine Learning, Predictive Modeling)
  • Utilize Deep Learning and NLP techniques to understand our apps and customers and personalize our interactions
  • Algorithmically drive our business actions to optimize performance under real world constraints (Optimization, Exploration/Exploitation, Bandit Algorithms)
  • Understand the impact our pricing and promotional campaigns have on our customers and business (Experiment Design, Hypothesis Testing, Causal Inference)
  • Shape our products and activities to improve the customer experience and business impact
  • Investigate and design data driven solutions for challenging business problems

You must also be able to manage timelines, work within our agile software development process, and coordinate your work with other team members. Your work must be accurate, timely, and insightful. You must be a self-starter and be able to learn on the go. You must be analytical and creative, and you must never, ever give up.

Are you holding out for an opportunity to:
  • Have the ability to use your unique skills to make a huge impact?
  • Shape the direction of products that touch millions of people?
  • Work with an amazing team of scientists, engineers, and product managers?
  • Play an important role in one of the most innovative companies in the world?
  • Have a great time doing it?
Then join us!

About Us
With over 800,000 apps and games, the Amazon Appstore offers an ever increasing selection to its customers on Amazon Fire Tablets, Fire TV and the entire family of Android devices. Amazon Coins is a virtual currency for the Amazon Appstore that empowers customers by enabling them to save tons of money on apps and in-app purchases. Combining coins rewards with customer outreach and targeted advertising, we have powerful set of tools to drive our business and delight our customers. Determining when and how to set those discounts and rewards is where the art of data science takes over. We have an economy to tune.

Basic Qualifications

You may be the one we're looking for if you have...
  • BS or MS in Statistics, Operations Research, Mathematics, Engineering, Computer Science or related field, or equivalent experience
  • 3+ years experience in a Research Science, Data Science, or related role
  • Experience working with large data sets in order to extract business insights or build predictive models (machine learning, predictive modeling, statistical methods)
  • 2+ years experience programming and processing data in R or Python
  • 2+ years experience presenting data-focused research to upper management.

Preferred Qualifications

We'd love it if you also have...
  • PhD in Statistics, Operations Research, Mathematics, Engineering, Computer Science or related field
  • Experience with Natural Language Processing
  • Experience with SQL and data warehousing
  • Experience applying causal inference techniques to real-world problems
  • Excellent verbal and written communication skills, including ability to convey rigorous mathematical concepts to business leaders at the appropriate level of detail
  • Ability to deal with ambiguity and competing objectives
  • Prior experience in the mobile application or mobile games domain
  • Experience in an agile software development environment
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation