Key job responsibilities
- Build sequential decision-making frameworks (e.g., MDPs, multi-armed bandits, dynamic programming) to optimize marketing resource allocation over time under uncertainty.
- Create predictive models to forecast marketing efficiency and aid strategic budget allocation across channels, campaigns, and markets.
- Design and analyze geo-level and regional hold-out experiments to validate model predictions and establish ground truth.
- Automate and scale our modeling infrastructure to improve efficiency and expand coverage across use cases and geographies.
- Collaborate with leaders across business and finance teams to translate business questions into well-posed statistical and optimization problems.
- Quantify uncertainty in model outputs and communicate results, limitations, and recommendations clearly to non-technical stakeholders.
About the team
The Marketing Science team drives decision-making on Global Prime Video marketing efforts by delivering sophisticated marketing measurement and optimization models. As an Applied Scientist on the team, you will build optimization and forecasting systems that leverage marketing effectiveness insights to deliver actionable investment recommendations. This includes sequential decision-making frameworks that adapt marketing strategy over time as customer behavior evolves. You will work closely with business and finance stakeholders, as well as other members of our science team, to shape and deliver a roadmap of models. Your frameworks will inform critical decisions for the business.
BASIC QUALIFICATIONS
- Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Experience programming in Java, C++, Python or related language
- Experience building machine learning models or developing algorithms for business application
PREFERRED QUALIFICATIONS
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
- PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 157,300.00 - 212,800.00 USD annually