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Master Of Science In Applied Computing Jobs in Toronto, ON

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi ... Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems ...

... in Mathematics, Computer Science, Statistics, or a related quantitative field with 3+ years of ... Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks ...

Bachelor's or Master's degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative field * 4-5 years of hands-on experience in applied statistics ...

Are you interested in shaping the future of Advertising and B2B Sales. We are a growing team with ... Applied Science talent to help us build new, science-backed services that drive success for our ...

Are you interested in shaping the future of Advertising and B2B Sales. We are a growing team with ... Applied Science talent to help us build new, science-backed services that drive success for our ...

We collaborate with the leading academic institutes in the space of AI and machine learning to ... Science-driven innovation: Work with other researchers, engineers, and product teams. Represent ...

We collaborate with the leading academic institutes in the space of AI and machine learning to ... Science-driven innovation: Work with other researchers, engineers, and product teams. Represent ...

Showing results 21-40

Master Of Science In Applied Computing information

What can I do with a Master of Science in Applied Computing?

A Master of Science in Applied Computing prepares graduates for roles such as software developer, data analyst, systems analyst, or IT consultant. It provides skills in programming, data management, and problem-solving, enabling work in technology firms, finance, healthcare, and other industries that rely on computing solutions.
Infographic showing various Master Of Science In Applied Computing job openings in Toronto, ON as of August 2026, with employment types broken down into 42% Full Time, 29% Part Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

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

Toronto, ON

Amazon
IT Services • 10K+ employees

Full-time

Re-posted 22 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,171 frontline employees who took The Breakroom Quiz


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, part of broader MADS 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 a Senior 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 set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers

You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics.
Key job responsibilities
* Lead the development of media planning models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.
* Collaborate closely with cross-functional teams including engineering, product management, and business teams to define and implement measurement solutions.
* Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models that measure the impact of media plans across different metrics.
* Drive experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.
* Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
* Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
* Foster collaborations between scientists to move faster, with broader impact.
* Regularly engage with the broader scientific community with presentations, publications, and patents.
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.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US