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Added 6 months ago
C
Fullstack Integration Developer Vice President
Citi
Mississauga, ON
- Full-time
Gen-AI Full-Stack Development: Experience with Python and Java, backend frameworks (Spring Boot/Core, Flask/FastAPI), modern JavaScript frontend frameworks (React, Angular, Vue), and…
Added 6 months ago
C
Fullstack Integration Developer Vice President
Citi
Mississauga, Ontario
- Full-time
Gen-AI Full-Stack Development: Experience with Python and Java, backend frameworks (Spring Boot/Core, Flask/FastAPI), modern JavaScript frontend frameworks (React, Angular, Vue), and…
Added 6 months ago
Network Engineer, Operations & Support
Meta
Quinte West, Ontario
Experience with network automation scripting using Python or similar languages to reduce manual operational tasks in site services environments
Added 6 months ago
HT
Researcher - AI Computing System
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Contract
1) Solid programming foundation, familiar with Python/C/C++ programming languages, good architecture design and programming habits
Added 6 months ago
HS
Business System Engineer
Hyve Solutions
Ontario · Ontario, Canada
- Full-time
…while leveraging expertise in software development (Java, SQL, Python), database design, and software architecture (REST, event-driven, distributed systems). The position also supports…
Added 6 months ago
NH
Signal Processing Engineer
Norbert Health
Montreal, Quebec
- Full-time
We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.
Added 6 months ago
SD
Chercheur Principal - Chimie Computationnelle / Principal Scientist - Computational Chemistry
Sygnature Discovery
Montreal, Quebec
- Full-time
La familiarité avec les outils de pipeline de données et la capacité de scripter en python sont préférables.
Added 6 months ago
TA
Manager/ Sr. Manager - BI Consulting (Life Sciences/Pharma)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Strong SQL skills and hands-on experience with analytic tools like R & Python & visualisation tools like Power BI
Added 5 months ago
S
Embedded Software Engineer
Spaceium
Ottawa, Ontario
- $75,000 to $110,000 CAD / year
…you will develop the core software that directly interfaces with spacecraft…
Added 2 months ago
C
Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Mississauga, ON
- Full-time
…provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment…
Added 2 months ago
Sr. SDET
Dialpad
Kitchener, ON
As a Senior Software Developer in Test (SDET) in the Contact Center QA team, you're both a skilled developer who builds elegant, scalable test frameworks and a quality advocate who leads a…
Added 2 months ago
C
Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Remote, Canada
- Full-time
- Remote
…provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment…
Added 6 months ago
PC
AI Product Engineer, Games
Puzzle Cats
Remote, Canada
- Full-time
- Remote
Experience with Python or JavaScript, cloud infrastructure/back-end systems, and Git
Added 6 months ago
O
Senior Software Engineer (Product)
Owl.co
Vancouver, British Columbia · Toronto, Ontario
- $150,000 to $250,000 CAD / year
- Full-time
…ingests and reasons over large, messy data to surface evidence with hard constraints around fairness, auditability, and low…
Added 6 months ago
Z
Software Engineer, Backend (All Levels)
Zip
Remote, Canada
- Full-time
- Remote
Experience with web application and API development in production environments. At Zip, our stack includes Python, Javascript, React, and GraphQL.
Added 6 months ago
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, Ontario
Scripting experience with Bash and/or Python.
Added 2 months ago
Analyst ETF Services (m/f/d)
Solactive AG
Toronto, ON
Optimizing existing operational processes with Python.
Added 6 months ago
W
Software Engineer, Labelling, Data & Automation
Waabi
Toronto, ON
- $127,000 to $225,000 USD / year
- Full-time
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
Added 6 months ago
Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, Ontario
…machine learning approaches including deep learning techniques, with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic…
Added 4 months ago
IF
Senior Full stack AI Developer (Python & Angular/React)
Intact FC
Montreal, Quebec
- Full-time
We’re looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team!
Added 6 months ago
T
Machine Learning Engineer
TD
Remote, Canada
- Full-time
- Remote
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 6 months ago
S
Senior AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
Strong expertise in Python, with hands-on experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn
Added 6 months ago
WA
Insurance Underwriting AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
…will bring strong knowledge of underwriting fundamentals along with the ability to design, implement, and optimize intelligent systems that enhance decision-making, efficiency, and risk…
Added 6 months ago
WA
Capital allocation AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
…trade-offs and support leadership in making informed choices aligned with long-term business…
Added 6 months ago
WA
Strategic finance AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
Hands-on experience with data tools such as Python, SQL, or advanced Excel; familiarity with AI/ML frameworks is highly preferred.

Amazon

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

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Apr 22, 2026

Original 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. Basic Qualifications: - 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

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 - 195,900.00 - 327,200.00 CAD annually

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More about this job

Responsibilities

Lead the development of scalable media planning models and solutions while collaborating with cross-functional teams to define measurement strategies. Drive experimentation and continuous improvement of machine learning models to provide impactful business insights for advertisers.

Requirements

Requires a PhD or a Master's degree with 6+ years of applied research experience, along with 3+ years of experience building machine learning models. Proficiency in programming languages like Java, C++, or Python and experience with deep learning methods are essential.

Skills

Machine learning
Deep learning
Java
C++
Python
Causal inference
Natural language processing
Computer vision
Generative AI
Data science
Statistical modeling
Distributed systems
Spark
Hadoop
Media planning
Ad tech

Benefits

Health insurance
Dental insurance
Vision insurance
Prescription insurance
Basic life insurance
AD&D insurance
Deferred profit sharing plan
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

Applied Scientist
Ad Tech
Data Science
Machine Learning
Deep Learning
Generative AI
Causal Inference
Natural Language Processing
Computer Vision
Java
C++
Python
Spark
Hadoop
Scikit-learn
Tensorflow
MxNet
Media Planning
Measurement
Optimization
Distributed Systems
Statistics
Mathematics
Operations Research
Algorithms
Predictive Modeling
Simulation
API
Agent-based modeling
Advertising

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