Job Information
Amazon Senior Business Intelligence Engineer, Sponsored Display, Amazon Advertising in Seattle, Washington
Description
Want to work in a start-up environment with the resources of Amazon behind you? Do you want to have direct and immediate impact on millions of customers every day? If you are a self-starter, passionate about machine learning, deep learning, big data systems, enjoy designing and implementing new features and machine learned models, and intrigued by ambiguous problems, look no further.
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to 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 Kindles, tablets, and mobile devices. 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, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.
About Our Team:
Our team is responsible for building a new advertising product for non-endemic advertisers. We are tasked with taking this start-up offering to market, with the goal of empowering over one million non-endemic advertisers to independently plan and execute campaigns. “Non-endemic” brands offer products and services that are not sold/available in Amazon’s retail marketplace, including restaurants, hotels, airlines, insurance, telecom, and automobiles. We are embarking on a multi-year vision to democratize display advertising for non-endemic advertisers at self-service scale. This will open up Amazon Ads to self-service non-endemic demand— whether they sell on the Amazon store or not— to activate Amazon Ads first-party audiences built from shopping and streaming signals and access unique ad inventory to help grow their business.
Open to hire in NYC or Seattle.
We are open to hiring candidates to work out of one of the following locations:
New York, NY, USA | Seattle, WA, USA
Basic Qualifications
7+ years of professional or military experience
5+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred Qualifications
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
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 $104,300/year in our lowest geographic market up to $202,800/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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.