Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)

The Measurement Ad Tech and Data Science (MADS) team at Amazon Ads is at the forefront of developing innovative solutions that help tens of millions of advertisers understand the value of their ad spend while prioritizing customer privacy and measurement quality.

The Media Planning Science team develops and implements models that deliver insights and recommendations for strategic media planning and measurement across Amazon Advertisings product portfolio. Our mission is to help advertisers create and execute plans that meet their objectives while providing accurate measurement tools. We work on a multitude of problem statements that encompass Reach and Frequency Budget Planning Optimization and Recommendations. Our models leverage both heuristic and machine learning approaches including deep learning techniques with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic systems to ensure optimal advertising outcomes.

As an Applied Scientist on the team you will be at the forefront of innovation developing media planning solutions end-to-end from inception to production. You will propose design analyze and productionize models to provide novel measurement insights to our customers.

Key job responsibilities
* Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement and media planning problems
* Disambiguate problems to propose clear evaluation frameworks and success criteria
* Work autonomously and write high quality technical documents
* Implement a significant portion of critical-path code and partner with engineers to directly carry solutions into production
* Partner closely with other scientists to deliver large multi-faceted technical projects
* Share and publish works with the broader scientific community through meetings and conferences
* Communicate clearly to both technical and non-technical audiences
* Contribute new ideas that shape the direction of the teams work
* Mentor more junior scientists and participate in the hiring process

A day in the life
You will solve real-world problems by analyzing large amounts of data generate business insights and opportunities design simulations and experiments and develop ML/DL models. The team is driven by business needs which requires collaboration with other Scientists Engineers and Product Managers across the advertising organization. You will prepare written and verbal documents to share insights to audiences of varying levels of technical sophistication.


About the team
We are a team of scientists across Applied Research and Data Science disciplines. You will work with colleagues with deep expertise in ML DL NLP Gen AI and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers product managers sales leaders and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.

- 3 years of building models for business application experience
- PhD or Masters 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

- Currently has or is in the process of obtaining a PhD in computer science computer engineering or related field
- Experience applying theoretical models in an applied environment
- Experience applying generative AI techniques to solve complex scientific or business problems with measurable impact

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company Amazons package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon offers comprehensive benefits including health insurance (medical dental vision prescription basic life & AD&D insurance) Registered Retirement Savings Plan (RRSP) Deferred Profit Sharing Plan (DPSP) paid time off and other resources to improve health and well-being. We thank all applicants for their interest however only those interviewed will be advised as to hiring status.

CAN ON Toronto - 149300.00 - 249300.00 CAD annually