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

ID: 7236

Type: Full-time

Category: Others

Company Name: Amazon Development Centre Canada ULC

Location: CAN, ON, Toronto - Toronto - Canada

Salary: 149,300.00 - 249,300.00 CAD annually

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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 shape the direction of the team's 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.

Basic Qualifications

- 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 Qualifications

- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's 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 - 149,300.00 - 249,300.00 CAD annually

Company Information

Company Name: Amazon Development Centre Canada ULC

Company Website: https://www.amazon.jobs/en/locations/canada

Company Address: CAN, BC, Vancouver

Amazon Development Centre Canada ULC is a Canadian legal entity and part of the global Amazon organization that houses software development, product engineering, research and related technical operations supporting Amazon’s consumer retail, cloud, devices, media and advertising businesses. As a development centre entity within Amazon’s corporate structure, it functions as an engineering and product delivery organization that employs software engineers, data scientists, machine learning specialists, product managers, designers, quality engineers and operations staff to design, build, test and operate software systems and services used by Amazon customers and internal business teams. The company’s core activities are centered on software and systems development across multiple technology domains. These activities typically include back-end and front-end application development, distributed systems engineering, cloud services work (including integration with Amazon Web Services), data engineering, analytics and machine learning model development, natural language processing work for voice services, computer vision R&D, infrastructure automation, security engineering and developer tooling. Teams operating under the development centre model commonly focus on delivering scalable services for retail commerce (catalog, search, recommendations, pricing, inventory and checkout), digital media (streaming and content delivery), consumer devices (software for Alexa-enabled products and IoT integrations), advertising technology (targeting, measurement and auction systems), and enterprise offerings (AWS features and management tools). The organisation also supports lifecycle activities for Amazon products and services, including product management, technical program management, continuous integration and continuous delivery (CI/CD) pipelines, site reliability engineering (SRE), monitoring and incident response, performance engineering, and operational support. Development centres play a role in prototyping new features, running experiments and A/B tests, and collaborating with global product teams to localize and adapt features for Canadian markets when appropriate. The teams frequently interface with cross-functional stakeholders—user experience researchers, UX designers, business analysts, legal and policy teams, and operations—to deliver end-to-end solutions aligning with Amazon’s product and customer experience goals. In terms of products and services, Amazon Development Centre Canada ULC does not sell consumer-facing products under its own brand; rather, it contributes engineering and product work to Amazon’s broad portfolio. Outputs from its teams feed into Amazon’s retail platforms (amazon.ca and global retail storefronts), AWS services, Alexa and Echo device software, Prime Video and digital content systems, Amazon Logistics and fulfillment technology, Amazon Advertising products, and other Amazon-owned services. These contributions include new features, performance and scale improvements, security and compliance implementations, localization for Canadian customers, and enhancements to data and machine-learning systems used for personalization, fraud detection, supply chain optimization and advertising. As a legal entity in Canada, Amazon Development Centre Canada ULC typically supports hiring and employment, payroll administration, workplace facilities and compliance with Canadian regulatory and labour requirements for Amazon’s engineering workforce in the country. The development centre model enables Amazon to maintain distributed engineering capacity outside its U.S. headquarters, providing both local product focus and integration into Amazon’s global engineering processes and technology stacks. Teams in such centres often collaborate closely with other Amazon engineering groups across North America, Europe and Asia, participating in shared codebases, microservice architectures, global release processes and Amazon-wide technical standards. Amazon’s publicly stated corporate mission—to be Earth’s most customer-centric company—is reflected in the development centre’s emphasis on customer-focused product delivery, data-driven decision-making and rapid iteration. The centre’s efforts are typically aligned to measurable customer outcomes such as lower latency, more relevant search results and recommendations, improved reliability and availability of services, faster feature delivery, and localized enhancements that improve the experience for Canadian customers. The operation also invests in workforce development, supporting internships, university hiring pipelines, co-op programs and community engagement in the technology ecosystem, as part of Amazon’s broader commitments to hiring and local economic participation. Security, privacy and regulatory compliance are also core considerations for engineering work done by Amazon Development Centre Canada ULC. Teams are expected to follow Amazon-wide security practices, data protection standards and compliance programs to meet applicable Canadian and international legal requirements, particularly for customer data, payment processing and cloud services. Research and engineering efforts may include building privacy-preserving machine learning, secure authentication systems, and compliance tooling to support regulated industries and jurisdictional requirements. Overall, Amazon Development Centre Canada ULC operates as a technology-focused subsidiary entity within the Amazon corporate family, delivering software engineering, data science and product development work that underpins many of Amazon’s consumer and enterprise offerings. Its contributions enable Amazon to scale technology development globally while retaining localized capabilities for the Canadian market.
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