Senior Data Scientist, Sponsored Display, Amazon Ads

About Amazon Advertising: Amazon Advertising operates at the intersection of eCommerce and advertising, providing a variety of digital display advertising solutions aimed at helping our clients find and discover anything they wish to purchase. We assist all kinds of advertisers in reaching Amazon customers on Amazon.com, across our multiple owned and operated sites, on other high-quality websites across the internet, and millions of Kindles, tablets, and mobile devices. We begin with the customer and work backwards in everything we do, including advertising. If you're intrigued about joining a rapidly expanding team striving to establish a unique, top-tier advertising group with an unwavering emphasis on the customer, you've found the right place. About our team: Sponsored Display (SD) is the first self-service display advertising offering from Amazon Advertising. It allows any advertiser - regardless of budget, advertising expertise, or technical knowledge - to establish display campaigns that feature ads on key placements across Amazon websites and apps (Amazon.com, Twitch, IMDb), devices (Kindle, Fire Tablet, Fire TV, Echo), third-party websites (like nytimes.com), and mobile apps. About this role: In this role as a Senior Data Scientist, you will: - Lead Data Science solutions from inception to completion. - Independently handle intricate, large-scale problems with complexity and ambiguity. - Write code (Python, R, Scala, SQL, etc.) to collect, manipulate, and analyze data. - Develop Machine Learning and statistical models to address specific business issues. - Retrieve, synthesize, and present crucial data in a format directly useful to answer specific questions or improve system performance. - Examine past data to identify trends and aid in optimal decision-making. - Apply statistical and machine learning knowledge to specific business issues and data. - Set formal assumptions about how our systems should perform, make statistical definitions of outliers, and develop methods to systematically identify these outliers. Learn why these examples are outliers and determine if any actions are needed. - Identify anomalies through anecdotes or generate automatic scripts, take a deep dive to explain why they occur, and identify fixes. - Create decision-making models and propose effective solutions to the business problems you define. - Deliver written and verbal presentations to share insights with audiences of varying technical sophistication. Impact and Career Growth: You have the opportunity to impact customer and advertiser experiences in one of Amazon's fastest-growing businesses! You can define a long-term scientific vision for our advertising business driven by our customer needs, and translate that direction into specific plans for the scientific, engineering and product teams. This role combines scientific leadership, organizational capability, technical strength, product focus, and business understanding. We are open to hiring candidates to work out of any of the following locations: New York, NY, USA Basic Qualifications: - 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab.) - 4+ years of data scientist experience - Bachelor's degree. Preferred Qualifications: - 2+ years of experience with data visualization using AWS QuickSight, Tableau, R Shiny, etc. - Experience managing data pipelines - Leadership and mentorship experience in a data science team - Experience with data applications using large-scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig and Hive). 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 wishing to request an accommodation, please visit: https://www.amazon.jobs/en/disability/us. In accordance with the Los Angeles Fair Chance Ordinance and the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our compensation encompasses the labor costs across various US geographic markets. The base pay for this position ranges from $127,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is determined by factors including market location and can vary depending on job-related knowledge, skills, and experience. Amazon provides total compensation. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a complete compensation package, along with 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.