Jobs in Canada

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Added just now
GC
Financial Controller
Genuine Comfort
Winnipeg, MB
- Full-time
You will work on site five days per week
Added just now
Y
Senior Cloud Contact Center Engineer
Yochana
Toronto, ON
- Contract
· Lead the design, development, implementation, and support of enterprise Contact Center solutions.
Added just now
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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 15 mins 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 15 mins ago
A
Geotechnical Instrumentation & Monitoring Technical Lead
Acciona
ON · CAN - Eglinton Crosstown West
- Full-time
Reporting to the Technical Design Manager, the Geotechnical Instrumentation & Monitoring (I&M) Technical Lead will be responsible for the technical oversight, planning, coordination, and…
Added 30 mins ago
TC
Azure Architect
Tata Consultancy Services
Toronto, ON
- $180,000 to $200,000 CAD / year
- Full-time
Cloud Migration: Lead cloud migration efforts, ensuring minimal disruption to business operations.
Added 31 mins ago
Proposal Coordinator
Aecon
Cambridge, ON
Aecon delivers some of the most complex and impactful infrastructure projects - from transformative transportation networks to critical energy, industrial and nuclear programs. The projects…
Added 46 mins ago
V
Senior Security Engineer
Venn
Toronto, ON
- Full-time
…team secure. You’ll work across application security, security operations, and governance, risk and compliance, partnering closely with engineering, product, and Risk and Compliance. Your…
Added 46 mins ago
EC
Programme des futurs leaders / Future Leaders Program (Bilingual EN/FR)
EMCO Corporation
Quebec, QC
- Full-time
…durables pour soutenir des projets résidentiels, commerciaux et d’infrastructure à travers le…
Added 1 hour ago
B
Director of Finance
BoomerangFX
Mississauga, ON
- $135,000 to $150,000 CAD / year
- Full-time
Location: Mississauga, Ontario - on-site, five days per week
Added 1 hour ago
Head of Design
Stratford Festival
Stratford, ON
…supports long-term planning and continuous improvement of design operations, and contributes to the broader leadership and strategic direction of the Production…
Added 1 hour ago
MH
HVDC Design Engineer (Electrical/Computer Engineer)
Manitoba Hydro
Winnipeg, MB
- Full-time
This role offers a unique opportunity to contribute to nationally significant infrastructure projects while working alongside industry-leading engineers, consultants, manufacturers, and…
Added 1 hour ago
MH
Cyber Support Engineer
Manitoba Hydro
Winnipeg, MB
- Full-time
Must have completed Standards of Conduct training, or be willing to complete within two weeks of start date
Added 2 hours ago
J
Head of Finance - R&D
Jobgether
Canada
- Full-time
As Head of Finance – R&D, you will take strategic ownership of the financial infrastructure, treasury operations, and banking ecosystem supporting fast-growing international technology…
Added 2 hours ago
SS
Carpentry Foreman
Surespan Structures
North Vancouver, BC
- Full-time
The Foreman will work at various project sites across Canada, often on a fly-in-fly-out basis · Typical work rotation: 21 days on, 7 days off
Added 2 hours ago
C
Account Executive - B2B Hardware Sales and Solutions
CareTek
Brampton, ON
- Full-time
Identify and qualify new B2B hardware and solutions opportunities through outbound calling, email, LinkedIn, sales-intelligence tools, referrals and partner lead sharing.
Added 3 hours ago
B
Managing Director, Projects and Operations
BGIS
Toronto, ON
- Full-time
Reporting to the General Manager, the Managing Director, Projects and Operations is responsible for managing FM projects and retail facility operations.
Added 4 hours ago
Senior Cloud Platform Analyst
Government of Alberta
Edmonton, AB
The role provides technical leadership in cloud operations, Infrastructure as Code, DevOps practices, automation, infrastructure modernization, and complex incident and problem resolution.…
Added 4 hours ago
C
RDL Network Administrator
Celestica
Toronto, ON
- Full-time
We are seeking a proactive and detail-oriented RDL Network Administrator to manage the day-to-day operations and administration of our global Research and Development Lab (RDL) networks.…
Added 4 hours ago
RB
Manager, DevSecOps
Rogers Bank
Toronto, ON
- Full-time
You will lead cloud operations strategy, ensuring secure, scalable infrastructure, with a strong focus on AWS, through IaC tools like Terraform and CloudFormation.
Added 4 hours ago
ET
General Manager
Executive Table Group
Vancouver, BC
- $75,000 CAD / year
- Full-time
As a Restaurant General Manager within ETG, you will lead the comprehensive day-to-day operations of your assigned location. You will act as the brand ambassador, championing our service…
Added 4 hours ago
RS
Vice President, TV & Radio Sales
Rogers Sports & Media
Toronto, ON
- Full-time
…targets. This highly visible role offers an opportunity to lead a world‑class, multi‑channel sales organization supported by the significant resources, infrastructure, and trusted brands of…
Added 4 hours ago
A
Responsable mondial de la transformation et des solutions en IA, Pâtes et papiers / Global AI Transformation & Solutions Lead, Pulp & Paper
AFRY
Montreal, QC
- Full-time
…towards a sustainable society. We are 19,000 devoted experts in infrastructure, industry, energy and digitalization, creating sustainable solutions for generations to…
Added 5 hours ago
E
Senior Water Wastewater Engineer
Englobe
Lethbridge, AB
- Full-time
…innovation and collaboration are an integral part of our daily…
Added 5 hours ago
HP
Lead Data Engineer
Hartree Partners
Toronto, ON
- Full-time
We are looking for an experienced Senior Data Pipeline Engineering Lead to shape and deliver the data technology that underpins Finance, Operations, Risk and Compliance across our trading…

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

Visa sponsorship

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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

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Work requirements

Jobs in Canada