Jobs in Canada

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Added 4 days ago
VS
Test Automation Specialist
vTech Solution Canada
Toronto, ON
- Contract
…the various components. The tester will work with the testing lead and IT lead of each project as well as the project team members in the analysis, design, development, implementation and…
Added 4 days ago
Solution Architect
PCL Construction
Edmonton, AB
…success, and that shared commitment drives how we work, grow and lead in the construction…
Added 4 days ago
T
Senior AI Solutions Lead (Onsite - Regina, SK)
Technitask
Regina, SK
- $80 to $130 CAD / hour
- Full-time
Must have a minimum of five (5) years experience in delivering software solutions · Must have a minimum of two (2) years experience in developing AI solutions
Added 4 days ago
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Senior Cloud Contact Center Engineer
Yochana
Toronto, ON
- Contract
· Lead the design, development, implementation, and support of enterprise Contact Center solutions.
Added 4 days ago
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AI Researcher - PhD
nugget.ai
Mississauga, ON
- Contract
…cutting-edge academic theory and enterprise-scale execution. You will lead the research, architecture, and development of next-generation AI models, moving beyond simple application…
Added 4 days ago
GT
Senior AI Solutions Lead
Global Technical Talent, an Inc. 5000 Company
Regina, SK
- $65 to $95 CAD / hour
- Contract
The Senior AI Solutions Lead will independently lead and deliver AI initiatives under EAS direction and in collaboration with the business. The role spans from discovery through solution…
Added 4 days ago
Digital Solutions Technician
Durham Children's Aid Society Recruiting
Oshawa, ON
…applications, and reporting tools - using platforms such as Python, JavaScript, and Microsoft Power Platform (Power Automate, Power Apps, Power…
Added 4 days ago
S
Data Scientist II
SOTI
Mississauga, ON
- Full-time
Lead end-to-end AI/ML initiatives, from problem formulation, data analysis and experimentation through model development, evaluation, deployment, and ongoing improvement.
Added 4 days ago
AT
Technical Architect for Box Capital Markets
Aarorn Technologies Inc
Toronto, ON
- $60 CAD / hour
- Contract
Lead detailed design of enterpriselevel technology projects from inception to production Supervise configuration quality assurance testing and deployment
Added 4 days ago
A
Solutions Architect
AIJAI
Toronto, ON · Greater Toronto Area, Canada
- Contract
Lead architecture reviews and provide technical guidance to delivery teams.
Added 4 days ago
PC
Principal Software Engineer
Priority Commerce
Waterloo, ON
- $191,000 to $249,000 CAD / year
- Full-time
…aligned with evolving threat landscapes. In parallel, you will lead the adoption of AI-enabled tools and workflows across the organization, driving improvements in developer productivity,…
Added 4 days ago
EO
Senior Research & Data Analyst
Elections Ontario
Toronto, ON · North York, ON
- $75,185 to $105,116 CAD / year
- Full-time
This position requires in-office presence of five days per week
Added 4 days ago
AC
Fuel Management System and Business Automation Analyst
Air Canada
Dorval, QC
- Full-time
Lead business-side coordination for the implementation of the new fuel management system, replacing PAICE.
Added 4 days ago
PC
Sr. Software Engineer
Priority Commerce
Waterloo, ON
- $115,000 to $142,000 CAD / year
- Full-time
…Engineer who together own the domain’s architecture, a product lead, 3 product managers, a designer, and business partners in [e.g., treasury operations, sales,…
Added 4 days ago
CL
Lead Applied AI Scientist - (Healthcare life science/Medical Device)
CoreTek Labs
Mississauga, ON
- Contract
Role: Lead Applied AI Scientist - (Healthcare life science/Medical Device)
Added 4 days ago
MS
Senior Full-Stack Developer – Business Applications & AI
McGill St Laurent
Montreal, QC
- Full-time
You’ll join a team that’s already in motion: our Transformation Lead is driving the overhaul of our processes and tools, and an in-house developer is already contributing.
Added 4 days ago
MH
Data Platform Developer
Manitoba Hydro
Winnipeg, MB
- Full-time
Under the direction of the Enterprise Analytics Solutions Lead, the Data Platform Developer plays a pivotal role in implementing and operationalizing Manitoba Hydro's Enterprise Data &…
Added 4 days ago
AR
Machine Learning Engineer, Apple Store Online
Apple Retail Shop
Cambridge, ON
- Full-time
…motivated, and hands-on applied Machine Learning Engineer. You will lead the way on our Online Retail Decision Automation team by researching and developing the next generation of…
Added 5 days ago
HP
Lead Data Engineer
Hartree Partners
Toronto, ON
- Full-time
A Global Commodities Firm Senior Data Pipeline Engineering Lead.
Added 5 days ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Must have development experiences in Azure Integration Services (Logic Apps,
Added 5 days ago
SS
Technology Risk & Engineering Program Manager
Strategic Staffing Solutions
Toronto, ON
- Full-time
Lead global programs and coordinate cross-functional stakeholders.
Added 5 days ago
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Senior Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
Lead New Product Introduction (NPI) activities for a market-leading optical test platform, ensuring smooth transition from R&D into manufacturing.
Added 5 days ago
DC
AI Solutions Lead
Dasro Consulting Inc.
Regina, SK
- Contract
The Senior AI Solutions Lead will be responsible for the following activities:
Added 5 days ago
S
Senior AI Solutions Lead
Systematix
Regina, SK
- Contract
The role is predominantly hands-on. The resource will lead AI initiatives from discovery and prioritization through architecture, production implementation, support and measurable benefits…
Added 5 days ago
BR
Perception Engineer
BHF Robotics
Markham, ON
- Full-time
Proficiency in C++, Python, or other relevant programming languages, with solid skills in object-oriented software development.

SOTI

Data Scientist II

Mississauga, ON, Canada

Full-time

Apply on soti.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Nov 10, 2026

Original job description

SOTI is committed to providing its employees with endless possibilities; learning new things, working with the latest technologies and making a difference in the world.

Who We Are 

At SOTI, we are committed to delivering best-in-class mobile and IoT device management solutions. We are looking for unconventional thinkers who appreciate the art of creating great software.

To us, being visionary is more important than doing things the way they’ve always been done.

What’s In It for You? 
  

The People - From our humble origins in our founder’s basement to our industry-leading position today, SOTI has worked hard to foster a company culture that we can all believe in. A culture that emphasizes personal growth, continuous innovation, and fun.  

The Growth - Our environment fosters new ideas, fresh perspectives, and the ability to take them over the goal line. SOTI is a fast-paced environment with a global reach that encourages you to make your mark and be part of something big! 

The Technology - You’ll get the chance to work with leading-edge technologies and take on complex and interesting projects as part of highly collaborative and agile teams. You will work alongside SOTI’s partners which include leading tech giants that will keep you on the cusp of emerging technologies. 

What We’re Looking For

We are looking for a Senior Data Scientist II to join our Data Science team and help design, develop, evaluate, and productionize AI and machine learning capabilities that improve our products and customer experiences.

This is a senior individual-contributor role for someone who combines strong data science fundamentals with hands-on engineering ability. The successful candidate will take ownership of complex data science initiatives from problem definition and experimentation through implementation, evaluation, and production delivery, while collaborating closely with Product Management, Software Development, QA, and other stakeholders.

The existing internal Senior Data Scientist 2 profile emphasizes end-to-end ML and analytics ownership, cross-functional product collaboration, and oversight of junior data scientists.

What You’ll Do

Graduate degree in Computer Science, Software Engineering, Data Science, Statistics, Mathematics, or another quantitative discipline, or equivalent relevant industry experience.
Lead end-to-end AI/ML initiatives, from problem formulation, data analysis and experimentation through model development, evaluation, deployment, and ongoing improvement.
Develop innovative and effective solutions using machine learning, statistical modeling, predictive analytics, NLP, and modern AI techniques.
Build robust evaluation methodologies and metrics to measure model quality, accuracy, reliability, and product impact.
Analyze structured and unstructured datasets, performing data profiling, cleaning, feature engineering, exploratory analysis, and validation.
Write production-quality Python code and work closely with software development teams to integrate data science capabilities into customer-facing products.
Research, define, prototype, and develop new data science and AI capabilities that can become part of the product experience.
Collaborate closely with Product Management, Development, QA, and other business stakeholders to translate ambiguous product or customer problems into measurable data science problems and solutions.
Take ownership of complex projects with limited supervision, driving them from investigation to production-ready outcomes.
Diagnose model and data-quality issues, investigate unexpected behavior, reproduce problems, perform root-cause analysis, and recommend practical improvements.
Apply appropriate techniques across areas such as NLP, classification, predictive modeling, anomaly detection, time-series analysis, and forecasting.
Stay current with developments in machine learning and AI, identifying techniques that have practical value for our products rather than adopting technology solely for novelty.
Communicate technical approaches, experimental results, limitations, and recommendations clearly to both technical and non-technical stakeholders.
Provide technical guidance and mentorship to other data scientists and contribute to strong engineering, experimentation, documentation, and review practices across the team.

Experience You’ll Bring

5+ years of professional experience building machine learning or applied data science solutions. This aligns with your existing Senior Data Scientist 2 level.
Expert-level Python skills, including the ability to develop clean, maintainable, production-ready code.
1 yr+ experience in Multi Agentic, MCP based production grade AI systems development.
3+ years of production experience with NLP, classification, predictive modeling, or related machine learning techniques.
Strong understanding of statistical modeling, machine learning algorithms, experimentation, model evaluation, and the ability to choose appropriate methods for real-world problems.
Strong data profiling, cleaning, mining, debugging, and technical documentation skills.
Experience building AI/ML solutions using cloud infrastructure such as Microsoft Azure or AWS.
Experience taking models beyond notebooks and prototypes into production environments.
Strong analytical troubleshooting skills, including the ability to reproduce issues, isolate data/model failures, and perform root-cause analysis.
Ability to communicate complex technical findings clearly and work effectively with Data Science, Development, Product, and QA teams.
Keep abreast with latest happenings in AI domain.

Strong Assets

Experience with Generative AI, LLMs, Retrieval-Augmented Generation (RAG), embeddings, semantic retrieval, or AI-agent applications.
Experience establishing repeatable model evaluation and benchmarking frameworks.
Knowledge of MLOps, including CI/CD, model monitoring, model/version management, production metrics, and rollback strategies. These practices also appear in the broader Data Science leadership expectations documented internally.
Experience with deep-learning architectures, including Transformers, sequence models, CNNs, or related architectures, which is part of the existing Senior Data Scientist 2 requirements.
2+ years of experience with time-series analysis, forecasting, or anomaly detection, consistent with the current profile
Experience mentoring other data scientists or providing technical leadership on complex projects.

What Success Looks Like

A strong Senior Data Scientist II on your team should be able to:

Take an ambiguous product/customer problem and turn it into a measurable ML problem.
Independently investigate the data and establish a credible evaluation methodology.
Develop and compare practical approaches rather than stopping at a research prototype.
Produce maintainable, production-quality Python.
Work effectively with developers to get the capability into the product.
Diagnose failures using data and evidence and improve the solution iteratively.
Explain trade-offs and results clearly to Product, Development, QA, and Data Science stakeholders.
Raise the technical capability of the team through reviews, mentorship, and reusable practices.

About SOTI

SOTI is the world's most trusted provider of mobile and IoT management solutions, with more than 17,000 enterprise customers and millions of devices managed worldwide. SOTI's innovative portfolio of solutions and services provide the tools organizations need to truly mobilize their operations and optimize their mobility investments. SOTI extends secure mobility management to provide a total, flexible solution for comprehensive management and security of all mobile devices and connected peripherals deployed in an organization. 

At SOTI, we celebrate the uniqueness of our global teams and are proud to be an equal-opportunity workplace. We are curious problem solvers who are committed to bringing the best mobile and IoT management solutions to market. We offer careers with #EndlessPossibilities.

So, what are you waiting for? Apply today!

If you want to bring your ideas to life, apply at SOTI today.

Use of Artificial Intelligence in Hiring

SOTI uses AI tools to support parts of our recruitment process, such as reviewing resumes, screening qualifications, and creating interview questions. These tools assist our team only-final hiring decisions are made by people, not automation. For privacy-related questions, please contact privacy@soti.net.

We are committed to providing accessible employment practices that are in compliance with the requirements under the Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation during any stage of the recruitment process, please notify People & Culture at careers@soti.net.

Please note that SOTI does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, SOTI will not consider or agree to payment of any referral compensation or recruiter fee.

Apply on soti.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

Lead end-to-end AI/ML initiatives from problem formulation and experimentation to production deployment. Collaborate with cross-functional teams to integrate data science capabilities into customer-facing products.

Requirements

Requires a graduate degree in a quantitative discipline and 5+ years of professional experience in machine learning or applied data science. Candidates must possess expert-level Python skills and experience with production-grade AI systems.

Skills

Python
Machine Learning
Data Science
NLP
Predictive Modeling
Statistical Modeling
AI
Cloud Infrastructure
AWS
Microsoft Azure
Data Profiling
Feature Engineering
Time-series Analysis
Anomaly Detection
MLOps
Generative AI

Benefits

Career growth and personal development
Access to leading-edge technologies

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Python
Machine Learning
Artificial Intelligence
NLP
Predictive Analytics
Statistical Modeling
Data Profiling
Feature Engineering
Cloud Infrastructure
AWS
Microsoft Azure
Generative AI
LLMs
RAG
MLOps
CI/CD
Time-series Analysis
Anomaly Detection
Transformers
Deep Learning
Agile
Software Engineering
Data Science
Production-ready Code
IoT
Mobile Management
Benchmarking
Model Evaluation
Root-cause Analysis

Seniority

Senior

Tools

Python
Microsoft Azure
AWS

Languages

English

Fields of study

Computer Science
Software Engineering
Data Science
Statistics
Mathematics

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Work requirements

Jobs in Canada