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

Amazon • Toronto, ON

8d • $149,300 - $249,300

About The Position

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 Advertising's 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. 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.

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

• 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

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 team's work
• Mentor more junior scientists and participate in the hiring process

Benefits

• health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
• Registered Retirement Savings Plan (RRSP)
• Deferred Profit Sharing Plan (DPSP)
• paid time off
• other resources to improve health and well-being

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree