In this role, you will make the best of your skillset to build scalable solutions and models to help identify and drive areas of growth for Amazon Ads teams, specifically within Amazon's Demand Side Platform (ADSP).
Leveraging a range of methods including machine learning and simulation, you will explain, quantify, predict and prescribe in support of informing critical business decisions.
You will translate business goals into agile, insightful analytics. You will seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders
We are open to hiring candidates to work out of one of the following locations :
Arlington, VA, USA New York, NY, USA Seattle, WA, USA
BASIC QUALIFICATIONS
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical / mathematical software (e.
g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Bachelor's degree
- Experience with statistical models e.g. multinomial logistic regression
PREFERRED QUALIFICATIONS
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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