About The Position

This role is for an Applied Scientist II within the Advertising Incrementality Measurement science team at Amazon Ads. The position focuses on leading the Ads industry by redefining how the effectiveness of Amazon Ads business is measured. The work involves building foundations for customer-facing advertising measurement tools, furthering internal research & development, and expanding Amazon's advertising measurement offerings. The ideal candidate is a thought leader with an aptitude for delivering customer-focused solutions at the intersection of Big-Data analytics, Machine/Deep Learning, and Causal Inference. They should be a self-starter, comfortable with ambiguity, able to think big and be creative, while paying attention to detail. The role requires translating data into customer journey insights, handling large and complex datasets, and using machine learning and/or econometric modeling to solve business problems. Strong analytical and communication skills are essential for collaborating with product managers to define business questions and with engineering teams to implement solutions. The position offers a highly collaborative and diverse working environment within a large science community, empowering the individual to shape the future of Amazon advertising.

Requirements

  • 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

Nice To Haves

  • Experience using Unix/Linux
  • Experience in professional software development

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

Benefits

  • 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
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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