Applied Scientist II, Demand Enablement, Product Analytics and Operations
About the role
The Applied Scientist II, Demand Enablement, Product Analytics and Operations, will design and build intelligent multi-agent systems that automate root cause analysis for advertising campaign delivery at scale. The role involves developing scalable and effective machine learning models and optimization strategies to solve business problems, conducting deep data analysis, running A/B experiments, and enhancing the scalability, efficiency, and automation of large-scale data analytics.
Responsibilities
- Conduct deep data analysis to derive insights for the business, identify gaps, and uncover new opportunities.
- Develop scalable and effective machine learning models and optimization strategies to solve business problems.
- Run regular A/B experiments, gather data, and perform statistical analysis to optimize advertiser experiences.
- Collaborate closely with software engineers to deliver end-to-end solutions into production.
- Enhance the scalability, efficiency, and automation of large-scale data analytics, model training, deployment, and serving.
- Research and implement new machine learning models and techniques to improve advertising performance.
Qualifications
- 3+ years of building models for business applications experience.
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Experience programming in Java, C++, Python or related language.
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
Benefits
Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.