About the job
Do you want to lead the Ads industry and redefine how we measure the effectiveness of Amazon Ads business? Are you passionate about causal inference, Deep Learning & AI, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation? If so, come join Amazon Ads to be a science leader within our Advertising Incrementality Measurement science team!
Responsibilities
• Apply expertise in ML/DL, AI, and causal modeling to develop new models that describe how advertising impacts customers’ actions
• Own the end-to-end development of novel scientific models that address the most pressing needs of our business stakeholders and help guide their future actions
• Improve upon and simplify our existing solutions and frameworks
• Review and audit modeling processes and results for other scientists, both junior and senior
• Work with leadership to align our scientific developments with the business strategy
• Identify new opportunities that are suggested by the data insights
• Bring a department-wide perspective into decision making
• Develop and document scientific research to be shared with the greater science community at Amazon
Qualifications
Minimum
- 3+ years of building models for business application 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
Preferred
- Experience using Unix/Linux
- Experience in professional software development