Amazon Advertising is one of Amazons fastest growing and most profitable businesses responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive longterm growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
We are seeking a highly accomplished Data Science professional to join our team leading our data science strategy for the Media Planning Science program. In this role you will collaborate closely with business leaders stakeholders and crossfunctional teams to drive the success of the program through datadriven solutions. You will be responsible for shaping the data science roadmap fostering a culture of datadriven decisionmaking and delivering significant business impact through advanced analytics data science methodologies.
A day in the life
As a Data Scientist On This Team You Will
1. Develop and drive the data science strategy for the Media Planning Science program aligning it with the programs objectives and overall business goals.
2. Identify highimpact opportunities within the program and lead the ideation planning and of data science initiatives to address them.
3. Solve realworld problems by getting and analyzing large amounts of data diving deep to identify business insights and opportunities design simulations and experiments developing statistical and ML models by tailoring to business needs and collaborating with Scientists Engineers BIEs and Product Managers.
4. Write code (Python R Scala SQL etc. to obtain manipulate and analyze data
5. Apply statistical and machine learning knowledge to specific business problems and data.
6. Build decisionmaking models and propose solution for the business problem you define.
7. Formalize assumptions about how our systems are expected to work create statistical definition of the outlier and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.
8. Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
2 years of data scientist experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Bachelors degree
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
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