Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 2 months ago
X
Quantum Architecture Scientist
Xanadu
Toronto, ON
- Full-time
…by humans. If you would like more information about how your data is processed, please contact…
Added 2 months ago
X
Quantum Architecture Scientist - Decoding
Xanadu
Toronto, ON
- Full-time
…by humans. If you would like more information about how your data is processed, please contact…
Added 2 months ago
X
Quantum Architecture Scientist - Logical Architecture - Gates
Xanadu
Canada
- Full-time
…by humans. If you would like more information about how your data is processed, please contact…
Added 2 months ago
X
Senior Scientist-SNSPDs
Xanadu
Toronto, ON
- Full-time
…by humans. If you would like more information about how your data is processed, please contact…
Added 2 months ago
X
Senior Scientist - Precision Measurements (Optical Metrology)
Xanadu
Toronto, ON
- Full-time
As a Senior Scientist - Precision Measurements , you will contribute your expertise in precision measurements for optical detector metrology to further the performance and scalability of…
Added 2 months ago
X
Quantum Scientist - Compilation
Xanadu
Toronto, ON
- Full-time
…by humans. If you would like more information about how your data is processed, please contact…
Added 2 months ago
SC
Early Career Environmental Scientist/Engineer
SLR Consulting
Victoria, BC · Nanaimo, BC
- Full-time
Must possess a valid driver’s license and regular access to a reliable vehicle for travel to job sites/clients
Added 2 months ago
A
Data Scientist ⭐
Achievers
Toronto, ON
- Full-time
We're looking for a Data Scientist with a strong background in applied Machine Learning, who has experience using data to produce models that power real-world solutions which are actively…
Added 2 months ago
A
Scientist – Molecular Analytics (1 Year Contract)
Amgen
Burnaby, BC · Canada - Burnaby
- Full-time
We are looking for a highly motivated scientist to work with cross functional teams to characterize both reagent and therapeutic protein candidates using various mass spectrometry methods…
Added 2 months ago
Applied Data Scientist / Engineer (Toronto-Hybrid)
Shift Technology
Toronto, ON
…critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our…
Added 2 months ago
MH
Data Engineering Scientist
Maya HTT
Remote, Canada
- Full-time
- Remote
Experience with common data engineering toolkits such as ex-OSIsoft Aveva PI (a must have), Insights Hub, Azure IoT, AWS IIoT/Sitewise
Added 2 months ago
UO
Postdoctoral Scholar – Evolutionary Cell Biology
University of Alberta
Edmonton, AB
- Full-time
Dr. Dacks is also a Research Scientist with the Czech Academy of Sciences and an Honorary Professor at University College London. The lab has access to super-computing capabilities through…
Added 2 months ago
FR
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
- Full-time
…you’ll help reinvent an industry using decades‑deep proprietary data and a modern tech stack, free from heavy legacy. Backed by full enterprise support, you’ll build reliable, explainable…
Added 2 months ago
VR
Senior Data Modeler - 6 Month Contract
Venterra Realty
Richmond Hill, ON
- Contract
ROLE: Senior Data Modeler – 6 Months Contract
Added 2 months ago
PX
Data Architect
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 2 months ago
Research Scientist, Paradigms of Intelligence
Google
Toronto, ON · Montreal, QC
…freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables…
Added 2 months ago
Applied Machine Learning Scientist II
OpenTable
Toronto, ON
This hybrid role requires working in the office two days per week
Added 2 months ago
Trade Data Scientist
Government of Alberta
Edmonton, AB
Turn data into decisions that shape the future of global trade. Join us as a Trade Data Scientist.
Added 2 months ago
S
Group Leader, Finished Products and Stability
SGS
Mississauga, ON
- Full-time
Write and review technical data, documents, SOPs and proposals as required.
Added 2 months ago
Senior, AI & Data Science
Artefact
Montreal, QC
Artefact is looking for a Senior AI & Data Scientist: a scientist who owns models end to end, from problem framing through production.
Added 2 months ago
S
Principal Research Engineer/Scientist
ServiceNow
Montreal, QC
- Full-time
…reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow - helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native…
Added 2 months ago
TH
SCIENTIFIQUE DES DONNÉES, ASKUITY, CANADA
The Home Depot Canada
Toronto, ON
- Other
As a Data Scientist on the Askuity team, you will design, build, and deploy advanced analytics and machine learning solutions that drive measurable impact for The Home Depot and its…
Added 2 months ago
TH
Data Scientist (Askuity division)
The Home Depot Canada
Toronto, ON
- Other
As a Data Scientist on the Askuity team, you will design, build, and deploy advanced analytics and machine learning solutions that drive measurable impact for The Home Depot and its…
Added 2 months ago
A
Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Agoda
Montreal, QC
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 2 months ago
A
Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Agoda
Toronto, ON
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…

Data Scientist ⭐

Toronto, ON, Canada

$108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data. · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data.
Job type: Full-time
Apply by: Feb 18, 2027
Experience: 3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data Science.
Posting language: English
Posted: Sep 1, 2026

Original job description

Our Data Scientists are a highly motivated and curious group. They're spearheading Achievers' efforts to build products powered by AI and enjoy solving all the problems that come with building at scale. We don't operate under a rigid structure, as a member of this team, you'll have the opportunity to shape the work and the craft. 

In this role, you'll research and develop innovative AI and Machine Learning based approaches to help us deliver on our vision to make sure every employee feels valued, engaged, and knows their voice matters. You will have the opportunity to autonomously own part of our data strategy, work in one of the world's most diverse and complex data environments, and bring together loosely structured datasets to find actionable outcomes that improve our customers' experience.

We're looking for a Data Scientist with a strong background in applied Machine Learning, who has experience using data to produce models that power real-world solutions which are actively being used by customers. The successful candidate will also have experience working with a development team to translate their models into working software. 

Why you'll love this role:

Lead high-impact initiatives that shape how millions of people experience work around the world.
Bring your unique perspective to complex and challenging projects - apply your expertise in data science, influence technical direction, and share your knowledge with fellow team members.
Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together.
Work alongside an experienced leadership team who is genuinely invested in your career growth.
Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.

How you'll shape Data Science at Achievers:

Work with a team of passionate data scientists on a variety of projects. Use both your IQ and EQ to support yourself, your team, and your company in achieving more inside and outside the office.
Work with Product Managers and Development teams to develop, deploy, and monitor Machine Learning solutions that are integrated into software products, ensuring scalability, reliability, and maintainability through modern MLOps practices.
Work with the Workforce Science team to push the boundaries on what is known about the “how” and “why” of the ways people work and interact with their peers.
Work with the Product team or other internal teams to analyse data such as feature usage and adoption and uncover insights to guide future product investments or business directions.
Work with the Client Success team to explore how recognition/engagement data relates to customer data and business metrics.
Collaborate with customer-facing teams, Product, and Data Engineering teams to analyze insights, feature usage and adoption to guide product investments, program optimization and business directions.
Develop repeatable frameworks and templates for insight generation, including benchmarking, demographic breakdowns, and engagement scoring.
Bring an “A-Player” attitude: aiming for the happiness of your stakeholders; erring on the side of quick communication and deep collaboration; strong sense of integrity and respect toward your colleagues (and everyone) that you express with helpfulness – you’re a team-player

Experience we feel will set you up for success:

Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred
3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data Science. 
Demonstrated experience in leveraging data for actionable insights using different techniques including AI, GenAI and ML.
Demonstrated experience working with both structured and unstructured data and a deep understanding of ML algorithms and statistical modeling.
Have software engineering skills (scripting is important for quick prototyping, but knowledge in OOP is crucial for the long run), fluency in Python and SQL.
Experience with cloud platforms (e.g., GCP, BigQuery) and version control tools.
Experience working in social networks, recommender systems and/or NLP applications
Have deployed models to production with an engineering team.
Excellent communication – written, conversational, presentation, and data-visualization.
Experience with both software engineering (ideally in an agile environment and with programming best practices) and empirical science.
Experience in an HR space (e.g. People Analytics) or knowledge of Organizational Psychology is highly desirable.

Bonus:

PhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field
Expertise in machine learning methods including Time series analysis, Hierarchical Bayes; and Learning techniques such as Decision Trees, Boosting, Random Forests, Deep Learning, Neural Networks

Why Achievers is a Great Place to Work™

At Achievers, we believe recognition is a powerful driver of connection. With more than 4.3 million users across 190 countries, our employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. We’re a team of passionate, thoughtful builders who care deeply about our product, our customers, and each other. Visit achievers.com to see how we’re inspiring recognition everywhere.

Our Approach to Total Rewards

$108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data. We’re committed to providing a fair and competitive offer based on what you bring to the team. Each A-Players' compensation is reviewed at least annually against performance and impact in role. We want you to see your path to growth, understand your impact, and feel valued every step of the way.

Benefits and Perk s for permanent full-time employees:

✨ Rewards for your impact through our Recognition and Rewards program

🩺 Health Benefits and Life Insurance Coverage beginning on your first day

👶🏼 Parental Leave Top-up

🙌🏼 Employer matched RRSP contributions

🏖️ Flexible Vacation to recharge, so you can bring your best

🤝🏽 Employee and Family Assistance Program offering mental health, legal, and financial counselling

🚀 Supported professional development and career growth (Linkedin Learning, mentorship)

👏🏼 Employee-Led Employee Resource Groups that celebrate our diversity

🧘‍♀️ Regular events designed to build connection, belonging, and well-being

🇨🇦 Hybrid flexibility, with time in our beautiful Liberty Village, Toronto office

Achievers is proud to be an equal opportunity employer committed to building a diverse, inclusive workplace where everyone can do their best work. We encourage qualified candidates from all backgrounds and experiences to apply.

Achievers is committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any accommodations for your interview, such as assistive technology, wheelchair accessibility, or alternative formats of materials, please let us know. We are happy to make necessary arrangements to support your needs.

We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools help our recruitment team but never replace decisions made by real people. We believe in a human-first approach to hiring, where your experience, personality, and potential are recognized by people, not algorithms, and where final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.

Apply on LinkedIn About employer

More about this job

Responsibilities

Research and develop innovative AI and Machine Learning solutions to improve employee engagement and product experience. Collaborate with product and engineering teams to deploy scalable models and analyze data to guide business investments.

Requirements

Requires 3+ years of experience in AI/ML and product data analysis with proficiency in Python and SQL. An advanced degree in a quantitative field is preferred, along with experience deploying models to production.

Skills

Machine Learning
Artificial Intelligence
Python
SQL
GenAI
MLOps
Statistical Modeling
Data Visualization
Cloud Platforms
BigQuery
NLP
Recommender Systems
Time Series Analysis
Deep Learning
Object-Oriented Programming
Agile Methodology

Benefits

Recognition and Rewards program
Health Benefits
Life Insurance Coverage
Parental Leave Top-up
Flexible Vacation
Employee and Family Assistance Program
Professional development
Employee Resource Groups
Well-being events

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
GenAI
MLOps
Python
SQL
GCP
BigQuery
NLP
Recommender Systems
Time Series Analysis
Hierarchical Bayes
Decision Trees
Boosting
Random Forests
Deep Learning
Neural Networks
People Analytics
Organizational Psychology
Data Science
Software Engineering
Agile
Data Visualization
Statistical Modeling
Unstructured Data
Product Analytics
Benchmarking
Engagement Scoring
Behavioral Science
Computer Science

Report this job

Work requirements

Jobs in Canada