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Added 6 months ago
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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 6 months ago
WA
Insurance Underwriting AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
Contribute to the development of underwriting dashboards, reporting tools, and decision-support systems.
Added 2 months ago
PC
Credit Risk Modelling Senior Associate
Pwc Canada
Toronto, ON
- Full-time
Model development, validation, internal audit of Retail and Wholesale credit risk methodologies including obligor and facility risk rating, Basel regulatory capital and economic capital…
Added 3 months ago
AR
Technical Project Manager / Technical Program Manager
A&K Robotics
Vancouver, British Columbia
- $100,000 to $180,000 CAD / year
- Full-time
Experience with common software development life cycle methodologies such as Agile and CI/CD, and adhering to best practices, including common design patterns
Added 6 months ago
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Credit Risk Modelling Senior Associate
PwC
Toronto, Ontario
- Full-time
Model development, validation, internal audit of Retail and Wholesale credit risk methodologies including obligor and facility risk rating, Basel regulatory capital and economic capital…
Added 6 months ago
Q
Staff AI Software Engineer (C++)
Qualcomm
Markham, ON
- Full-time
Development of software tools for profiling, and debugging to support rapid deployment of new neural networks in this fast changing field
Added 2 months ago
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Senior Manager, AI & Digital Strategy Consulting
BDO
Toronto, ON
- Full-time
…“end-to-end” enablement, from the initial stage of strategy development to effective design of the transformation, to the successful adoption of new digital, AI & data…
Added 6 months ago
Q
AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff
Qualcomm
Markham, Ontario
- Full-time
…Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference…
Added 1 month ago
OT
Principal AI Developer
Open Text Corporation
Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
The OpenText Cloud Services organization is seeking a Principal Artificial Intelligence Developer to join the Cloud Platforms & AI Operations team and serve as a technical authority and…
Added 4 months ago
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Head of Technology - Ink
Netflix
Vancouver, British Columbia
- Full-time
Familiarity with modern and emerging software development technologies and AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, internal Netflix solutions), and how to integrate…
Added 6 months ago
PA
Artificial Intelligence Engineer
Precision AI
Calgary, Alberta
- Full-time
The Artificial Intelligence Engineer at Precision AI will contribute to the design, development, and deployment of AI-driven solutions. This role focuses on building, training, and…
Added 2 months ago
DI
Specialist, AI Engineering
Definity Insurance Company
Toronto, ON
- Full-time
AI Application Development: An AI Engineer is focused on the practical application of artificial intelligence and machine learning to create intelligent systems and solve real-world…
Added 2 months ago
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca
Toronto, ON
Added 2 months ago
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Software Development Engineer II, ML Platform
Remitly
Burnaby, BC
- Full-time
Partner closely with data scientists, ML engineers, and software engineers across multiple domains to deliver end-to-end solutions.
Added 5 months ago
AG
Lead AI Engineer
Altus Group
Toronto, Ontario
- Full-time
…hands-on in code, system design, experimentation, and AI solution development while guiding outsourced engineering resources and influencing technical direction across teams. This is a role…
Added 2 months ago
FI
Principal Software Engineer
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
Establish development standards, CI/CD, and engineering practices for the team forming around you
Added 4 months ago
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Senior Consultant - Digital, Data & AI Strategy & Transformation
BDO
Montreal, Quebec
- Full-time
…“end-to-end” enablement, from the initial stage of strategy development to effective design of the transformation, to the successful adoption of new digital, data & AI capabilities. This is…
Added 2 months ago
B
Databricks Solution Architect
BDO
Toronto, ON
- Full-time
Contribute to pre-sales efforts, proposal development, and executive briefings to support business growth and client engagement.
Added 2 months ago
Senior Software Engineer
Evismart
Vancouver, BC
7+ years in software development, with 3+ years in technical leadership or architecture including hands-on IC time.
Added 3 months ago
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AI Developer
GenAIz
Montreal, Quebec
- Full-time
Familiarity with software development methodologies
Added 2 months ago
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Associate Director, Data Sciences
SOTI
Mississauga, ON
- Full-time
It all started with a classic story about one developer’s vision. In 1995, Carl Rodrigues, President and CEO of SOTI, has developed solutions for managing mobile device screens from a…
Added 5 months ago
Data Collection Contributor
HumanSignal
Canada
Support the development and improvement of next-generation AI technologies.
Added 3 months ago
Staff Data Developer
AlayaCare
Montreal, Quebec
5+ years of hands-on experience with data software development.
Added 4 months ago
CI
Lead Software Engineer, AI & Emerging Tech
CPP Investments | Investissements RPC
Toronto, Ontario
- Full-time
As a Lead Engineer for AI & Emerging Tech, you will drive the design, development, and deployment of next-generation tech and AI-powered solutions that unlock business value across the…
Added 3 months ago
S
Senior Manager, Data Science
SOTI
Mississauga, Ontario
- Full-time
It all started with a classic story about one developer’s vision. In 1995, Carl Rodrigues, President and CEO of SOTI, has developed solutions for managing mobile device screens from a…

SOTI

Senior Manager, Data Science

Mississauga, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Jul 6, 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.

Job Title: Senior Manager, Data Science

Location: Mississauga, Ontario, Canada

Work Model: Hybrid

Who We Are 

It all started with a classic story about one developer’s vision. In 1995, Carl Rodrigues, President and CEO of SOTI, has developed solutions for managing mobile device screens from a desktop. An innovation that has put him ahead in what is now one of the largest growing markets – Enterprise Mobility Management (EMM). Today, more than 17,000 enterprise customers around the world depend on us to secure, manage, and support their mobile operations, with millions of devices managed worldwide.

SOTI’s two decades of success has built strong partnerships with leading mobile platform providers and device manufacturers. We are deeply committed to researching and developing solutions that address today’s toughest mobility challenges. We strive to go where nobody has gone before.

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 seeking a pragmatic Senior Data Science Manager to lead the development and delivery of AI-driven product capabilities that create measurable value for our customers and business. In this role, you will combine technical depth with strategic leadership, transforming data into actionable insights and scalable product features. You will collaborate closely with cross-functional teams across engineering and product to design, build, and deploy reliable AI solutions that integrate seamlessly into our platform.

This position requires a hands-on leader who thrives in fast-paced product environments, prioritizing practical, real-world impact and iterative delivery over theoretical experimentation. You will also play a key role in mentoring and growing a high-performing team of data scientists and engineers, fostering a culture that balances analytical rigor with strong engineering practices.

Responsibilities:

Lead the design, development, and deployment of AI and machine learning systems, including scalable pipelines for inference, analytics, and real-time processing, using modern engineering practices to ensure robustness and efficiency.
Collaborate with product management, development, and business teams to identify and solve product challenges through data-driven models, focusing on user behavior, predictive analytics, and operational improvements.
Oversee hands-on prototyping, experimentation, and iteration to validate AI solutions quickly, translating complex data insights into clear product recommendations that influence strategy and priorities.
Establish and enforce best practices for AI operations, including data quality, model monitoring, and cross-team collaboration to maintain high performance in production.
Build and mentor a high-performing team of data scientists and developers, promoting a culture of ownership, innovation, and product-oriented thinking while fostering skills in both data analysis and software engineering.
Partner with stakeholders to propose AI initiatives that align with business goals, driving measurable outcomes like enhanced customer experiences and optimized operations.
Contribute directly to code and system architecture, ensuring your team delivers production-ready solutions that leverage cloud-based tools and integrate with existing development workflows.

Qualification:

Advanced degree in computer science, data science, statistics, or a related quantitative field, or equivalent practical experience in applying AI/ML to product environments.
8+ years of experience in data science, machine learning engineering, or applied AI roles, with a proven track record of shipping AI-driven features in production products.
4+ years of experience managing and mentoring teams of data scientists, ML engineers, and developers in tech-driven organizations.
Strong hands-on programming skills in Python, SQL, and related tools, with experience building and deploying models, data pipelines, and analytical systems in cloud environments (e.g., AWS, Azure).
Expertise in pragmatic AI applications such as machine learning, time-series analysis, anomaly detection, user modeling, or predictive analytics, with a focus on product integration rather than research.
Demonstrated ability to lead combined data science and development efforts, synthesizing diverse data sources into actionable, business-impacting insights.
Excellent communication skills for bridging technical and non-technical audiences, including product managers, engineers, and executives.
Solid understanding of MLOps, scalable data architectures, and deployment patterns, with experience in monitoring and iterating on production AI systems.
Experience defining team standards and processes for embedding AI into products, emphasizing speed, reliability, and customer value.

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 provides the tools organizations need to mobilize their operations and optimize their mobility investments.

SOTI extends secure mobility management to provide a 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 the market. We offer careers with #EndlessPossibilities.

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.

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More about this job

Responsibilities

The role involves leading the design, development, and deployment of AI and machine learning systems, including scalable pipelines for inference and analytics, while collaborating with product and engineering teams to solve challenges through data-driven models. This person will also establish best practices for AI operations, build and mentor a high-performing team, and contribute directly to code and system architecture.

Requirements

Candidates must have an advanced degree in a quantitative field or equivalent experience, coupled with 8+ years in data science/ML engineering, including 4+ years managing teams. Strong hands-on programming skills in Python and SQL are required, along with expertise in pragmatic AI applications and deploying production-ready solutions in cloud environments.

Skills

Data Science
Machine Learning
AI
Python
SQL
Cloud Environments
MLOps
Data Pipelines
Predictive Analytics
User Modeling
Anomaly Detection
Time-Series Analysis
System Architecture
Mentoring
Agile
Product Integration

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
AI
Enterprise Mobility Management
EMM
Product Capabilities
Actionable Insights
Scalable Pipelines
Inference
Real-Time Processing
User Behavior
Predictive Analytics
Experimentation
MLOps
Data Quality
Model Monitoring
Python
SQL
AWS
Azure
Time-Series Analysis
Anomaly Detection
User Modeling
Cloud-Based Tools
Agile Teams
Production Systems

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