Amazon Advertising is one of Amazon's 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
long-term 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
cross-functional teams to drive the success of the program through data-driven
solutions. You will be responsible for shaping the data science roadmap
fostering a culture of data-driven decision-making, 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
- Develop and drive the data science strategy for the Media Planning Science
program, aligning it with the program's objectives and overall business goals.
- Identify high-impact opportunities within the program and lead the ideation,
planning, and execution of data science initiatives to address them.
- Solve real-world 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, BIE's, and Product
Managers.
- Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze
data
- Apply statistical and machine learning knowledge to specific business
problems and data.
- Build decision-making models and propose solution for the business problem
you define.
- 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.
- Conduct written and verbal presentations to share insights to audiences of
varying levels of technical sophistication.
