Data Scientist, Ad Sales Ops

Seattle, Washington, USA

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Posted 1 month ago

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 reach Amazon customers on, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, mobile devices, and connected TVs. We start with the customer and work backwards in everything we do, including advertising.

The Advanced Analytics and Decision Support (AADS) team under Global Sales Operations shapes strategies for advertising sales teams, develops cutting edge data pipelines, builds accurate predictive models, and deploys automated solutions to provide forecasting insights to business leaders at the most senior levels of the company.

This role will work closely with data analysts and engineers to develop and run statistical models to understand business trends in advertising, produce sales input & output forecasts, and drive sales productivity and operational effectiveness. This role requires superior analytic thinkers who are able to quickly approach large ambiguous problems and apply their technical and statistical knowledge to identify opportunities for further research. The ideal candidate will demonstrate a deep understanding of identifying meaningful key performance indicators and building actionable metrics. The ideal candidate will also be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so in fast-paced environments.

Key Responsibilities:
· Implement statistical methods to solve specific business problems utilizing code (Python, R, Scala, etc.).
· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
· Directly contribute to the design and development of automated forecasting systems.
· Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance.
· Collaborate with data engineers, researchers, and business leaders to define product requirements, provide analytical support, and communicate feedback.
· Present critical data in a format that is immediately useful to answer questions about the inputs and outputs of forecasting systems.

Basic Qualifications

· Bachelor's Degree
· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· 2 years working as a Data Scientist
· Deep understanding of regression modeling, forecasting techniques, time series analysis, and machine-learning concepts, such as supervised and unsupervised learning, classification, random forest, etc.
· Familiarity with managing disparate data sets; including, building and maintaining data flows and pipelines
· Industry experience in defining and building metrics, performing business analysis, and quantifying decisions through the utilization of data
· Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences

Preferred Qualifications

· Master's degree in Statistics, Mathematics, Business Analytics, or related quantitative discipline
· Expert knowledge of SQL
· Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to millions of rows) via AWS technologies, SQL, and data pipelines
· Experience in online advertising

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

Job tags: AWS Big Data Matlab Python R Research Scala SQL