Amazon Development Centre Canada ULC
Ad Tech
AppliedScientist,Measurement,AdTech,andDataScience(MADS)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Measurement, Ad Tech, and Data Science (MADS) at Amazon Development Centre Canada ULC. Skills: Data science, Machine learning, Ad measurement, Media planning. Develop innovative solutions. Implement models”
Industry & Context.
Disambiguate problems
What They're Looking For.
Must Have
3+ years building models, Master's degree and 4+ years experience, Programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing
Nice to Have
PhD in computer science, Experience applying theoretical models, Experience applying generative AI techniques
What You'll Do.
Develop innovative solutions
Deliver insights and recommendations
Create and execute plans
Provide accurate measurement tools
Develop media planning solutions
Provide measurement insights
Disambiguate problems
Propose evaluation frameworks
Propose success criteria
Write technical documents
Implement critical-path code
Partner with engineers
Carry solutions into production
Partner with scientists
Deliver technical projects
Mentor junior scientists
Participate in hiring process
Generate business insights
Generate business opportunities
How You'll Work.
Team & Collaboration
Partner closely with engineers; Partner with scientists; Collaboration with Scientists; Collaboration with Engineers; Collaboration with Product Managers
Communication Scope
Technical documentation; Communicate clearly; Written documents; Verbal documents
Full Job Description
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. 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 s
Applying for this Applied Scientist, Measurement, Ad Tech, and Data Science (MADS) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon Development Centre Canada ULC?
Real rants from real employees. Read before you apply.