Applied Scientist

Job description

DESCRIPTION

Interested in using Terabytes of Data, Machine Learning and Economics?

At Amazon Advertising, we are developing state-of-the-art large-scale computational advertising and machine learning applications using Terabytes of data. The Machine Learning and Optimization team develops algorithms and high performance, petabyte-scale distributed systems to optimize ad selection, bidding and campaign performance. Our systems process billions of ad impressions daily from across the internet to power our display advertising algorithms. Our scientists work with other machine learning scientists, economists, engineers and product managers on high impact initiatives in Amazon’s Display Advertising.

We are building a new bidding product for advertisers who are looking to experiment and learn about the right bids for their campaigns. This product will be used by hundreds of thousands of campaigns every month. We are looking for an outstanding applied scientist to define and build this product grounds up.

You will....
· Focus on the customer - understanding advertisers’ marketing objectives and defining the right bid inputs for these objectives.
· Define how Amazon should match impressions to individual campaigns and how to determine bid amounts for tens of billions of impressions that campaigns can serve ads on each day.
· Define and implement controls on bids and campaign delivery.
· Build Machine Learning algorithms to streamline campaign delivery using supply forecasts, campaign past history and advertiser inputs and set up feedback mechanisms for advertisers.
· Build the right bidding guardrails for advertisers.
· Work at the intersection of big data, AI and economics.

PREFERRED QUALIFICATIONS

· Peer reviewed scientific contributions in premier journals and conferences.
· Experience with digital media, online advertising or retail.
· Strong verbal and written communication skills and ability to convey mathematical concepts to non-experts.

Amazon.com is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age

Desired profile

BASIC QUALIFICATIONS

· PhD or Masters in Computer Science, Statistics or a related quantitative field.
· 2+ years of experience in training and implementing advanced models (machine learning, predictive modeling, and analysis).
· 2+ years hands-on experience programming in R, Java, C#, C++ or other similar programming languages
· 2+ years of algorithm and model development experience for large-scale applications