Description

　　Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of devices (Kindles, Fire tablets, Fire TV, Alexa, mobile, Twitch, and more). We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, highly respected advertising group with a relentless focus on the customer, you’ve come to the right place.

　　What does Publisher Services, the hiring team, do?

　　The Publisher Services team within Amazon Advertising is building the next generation of products and services that will fuel the growth of Amazon’s advertising business. We own the customer facing facets of Amazon’s Supply Side Technologies, which allow publishers to monetize their on-demand, streaming, and static placements across Amazon’s ad network in a few clicks. Publishers interact directly with our technology, through our website and/or programmatic APIs and get enterprise-grade access to optimize billions of impression opportunities per day.

　　What is the Publisher Services team looking for?

　　We are looking to build out our Simulation and Experimentation team to drive innovation across our product. As a senior scientist, you will apply cutting edge designs and methodologies for complex use cases across Publisher Technologies to drive innovation. In addition, you will contribute to the end state vision for simulation and experimentation of Publisher Technologies at Amazon.

　　This is a rare opportunity to kick-start a completely new user experience at Amazon. You will be a foundational member of the team that builds a world-class, green-field simulation and experimentation for the Amazon Supply-Side Technologies in Advertising.

　　Key job responsibilities

　　• Developing new statistical, causal, machine learning, and simulation techniques and develop solution prototypes to drive innovation

　　• Working with technical and non-technical customers to design experiments, simulations, and communicate results

　　• Collaborating with our dedicated software team to create production implementations for large-scale data analysis

　　• Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business

　　• Presenting research results to our internal research community

　　• Leading training and informational sessions on our science and capabilities

　　• Your contributions will be seen and recognized broadly within Amazon, contributing to the Amazon research corpus and patent portfolio.

　　We are open to hiring candidates to work out of one of the following locations:

　　Seattle, WA, USA

　　Basic Qualifications

　　PhD, or Master's degree and 6+ years of applied research experience

　　Knowledge of programming languages such as C/C++, Python, Java or Perl

　　Experience programming in Java, C++, Python or related language

　　5+ years of experience working as an applied scientist or a similar role involving data extraction, analysis, statistical modeling, machine learning modeling/.

　　Strong problem solving and analytical abilities

　　Strong verbal and written communication skills and an ability to work in a team environment

　　Multiple years of experience working with large-scale, complex datasets to create/optimize statistical, machine learning, forecasting, and/or optimization models.

　　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.

　　Experience with AB testing framework and experimental design

　　Experience with graphical causal models and causal ML methodologies

　　Experience with discrete event simulation and agent based models

　　Proven experience leading the delivery of large-scale, high-quality systems

　　Experience working on automated marketing technologies

　　Experience working on advertising solutions.

　　Experience working with AWS Services, consuming, managing large scale datasets.

　　Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences

　　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 $136,000/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. Applicants should apply via our internal or external career site.