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 looking for an accomplished machine learning expert to lead the Applied
Science strategy for our Media Planning Science program. In this role, you will
work closely with business leaders, stakeholders, and cross-functional teams to
drive program success through ML-driven solutions. You will shape the applied
science roadmap, promote a culture of data-driven decision-making, and deliver
significant business impact using advanced data techniques and applied science
methodologies.
Key job responsibilities
As An Applied Scientist On This Team, You Will
- Serve as the technical leader in Machine Learning, guiding efforts within the
team and collaborating with other teams.
- Conduct hands-on analysis and modeling of large-scale data to generate
insights that boost traffic monetization and merchandise sales while maintaining
a positive shopper experience.
- Lead end-to-end Machine Learning projects that involve high levels of
ambiguity, scale, and complexity.
- Build, experiment, optimize, and deploy machine learning models,
collaborating with software engineers to bring your models into production.
- Run A/B experiments, gather data, and perform statistical analysis to
validate your models.
- Develop scalable and automated processes for large-scale data analysis, model
development, validation, and serving.
- Explore and research innovative machine learning approaches to push the
boundaries of what’s possible.
About the team
The Media Planning Science team builds and deploys models that provide insights
and recommendations for media planning. Our mission is to assist advertisers in
activating plans that align with their goals. Our insights and recommendations
leverage heuristic and machine learning models to simplify the complex tasks of
forecasting, outcome prediction, budget planning, optimized audience selection
and measurements for media planners. We integrate our insights into user
interfaces and programmatic integrations via APIs, ensuring reliable data,
timely delivery, and optimal advertising outcomes for our advertisers.
