Find work in Canada.

A simpler way to find your next job.

Jobs in Canada

Email me new jobs Save this search

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
We are seeking a highly skilled, hands-on Lead Python AI Principal Engineer to join Citi in spearheading the design and development of cutting-edge AI platforms and services. This role…
Added 6 months ago
PC
AI Product Engineer, Games
Puzzle Cats
Remote, Canada
- Full-time
- Remote
Experience with Python scripting for tooling, automation, or data pipelines
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
…decisions. Our platform ingests and reasons over large, messy data to surface evidence with hard constraints around fairness, auditability, and low…
Added 6 months ago
K
Data Engineer
KUBRA
Mississauga, Ontario
- Full-time
Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions
Added 6 months ago
JA
Python Developer + Pricing
Jay Analytix
Montreal, Quebec
- Contract
We are seeking a Python Developer with experience in pricing models and banking systems to build, enhance, and support applications used for valuation, risk analysis, and trading. The role…
Added 6 months ago
F
Embedded Software Developer
Fortinet
Burnaby, British Columbia
- Full-time
…Unified Threat Management feature set (Anti-Virus, Web Filter, Data Leak Prevention and Anti-Spam). You love tackling challenging problems and take pride in writing clean, well thought-out…
Added 4 months ago
Développeur des opérations de négociation / Trade Operations Developer
Tower Research Capital
Montreal, Quebec
Solides compétences en développement de logiciels dans Python
Added 1 month ago
Principal Software Developer - FinOps
Zynga
Toronto, ON
Demonstrated proficiency with Python for data cleaning and data wrangling (pandas, NumPy), and ability to work with source code via pull requests, CICD pipelines, etc
Added 3 months ago
CC
Hardware Sustaining, Lead - Onsite Position
Curtiss-Wright Corporation
Ottawa, Ontario · Canada-Ottawa
- Full-time
As our Hardware Sustaining, Lead, you will provide Engineering support for all aspects of production from supporting the Debug and Repair facility to addressing issues with Manufacturing…
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
…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…
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
Senior Data Engineer
Redlen Technologies Inc.
Central Saanich, British Columbia · Saanichton, BC
Strong proficiency in Python for data engineering and automation.
Added 6 months ago
T
Machine Learning Engineer
TD
Remote, Canada
- Full-time
- Remote
…to be at the cutting edge of machine learning in research, engineering, and impactful…
Added 6 months ago
S
Senior AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands-on engineering…
Added 2 months ago
C
Bioinformatics Manager
Calliere
Remote, Canada
- Full-time
- Remote
We’re a tight-knit crew of builders - spanning science, engineering, design, and product - working on problems where biology meets modern software. Think large-scale genomic data,…
Added 6 months ago
WA
Insurance Underwriting AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
As an Underwriting AI Expert, you will play a critical role in modernizing underwriting workflows by embedding data-driven insights into core processes such as risk assessment, pricing, and…
Added 6 months ago
WA
Capital allocation AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
Bachelor’s or Master’s degree in Finance, Economics, Engineering, Data Science, or a related field.
Added 6 months ago
QC
Junior Quantum Engineer
Q-Block Computing
Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
Proficiency in data analysis and scientific computing; Python, MATLAB, or equivalent experience.
Added 5 months ago
S
Engineer, Digital Design Verification
Semtech
Ottawa, Ontario · CAN - Ottawa, ON
- Full-time
Semtech’s Signal Integrity Product Business Unit delivers high performance Signal Integrity IC’s for data communications and video broadcast industries. This role offers a rare opportunity…
Added 6 months ago
FC
Senior Technical Analyst, Data Engineering and Business Intelligence
Fidelity Canada
Toronto, Ontario
- Full-time
As a Senior Technical Analyst, Data Engineering and Business Intelligence, at Fidelity Investments Canada, you will focus on building, automating and scaling internal data pipelines and…
Added 6 months ago
H
Senior Electrical Design Engineer
Humanoid
Burnaby, BC
- Full-time
…analyzers, to validate designs and solve complex electrical engineering…
Added 2 months ago
PC
Credit Risk Modelling Senior Associate
Pwc Canada
Toronto, ON
- Full-time
Master’s degree in Statistics, Mathematics, Physics, Engineering, Financial Engineering, Data Science or other relevant fields
Added 6 months ago
P
Credit Risk Modelling Senior Associate
PwC
Toronto, Ontario
- Full-time
Master’s degree in Statistics, Mathematics, Physics, Engineering, Financial Engineering, Data Science or other relevant fields

Amazon

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

Toronto, ON, Canada

Apply About employer

Applications open in a new tab.

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

Apply About employer

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

Report this job