Toronto, On Senior data scientist Jobs – 582 Openings This Week

Staff Applied ML Engineer
Kaseya Careers —Toronto, ON
- $220,000–$280,000 a year
- SQL
- Machine learning
- Mentoring
Data Scientist - AI Trainer
DataAnnotation —Caledon, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
Senior Data Scientist
Northbeam —Toronto, ON
- $170,000–$200,000 a year
- 8 hour shift
- Remote
- Doctoral degree
- Computer Science
- Software troubleshooting
- Dental care
- Paid time off
Quick apply
Senior Data Scientist
Agilus by Synergie —Toronto, ON
- $140,000–$160,000 a year
- Remote
- Machine learning
- Software development
- APIs
- Dental care
- Paid time off
Quick apply
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca —Toronto, ON
- $180,000–$210,000 a year
- Computer Science
- Engineering
- System design
- Employee assistance program
Senior Data Scientist - Toronto (m/f/d)
autoTRADER.ca —Toronto, ON
- $180,000–$210,000 a year
- Computer Science
- Engineering
- System design
- Employee assistance program
Data Scientist II
TD Bank —Markham, ON
- $81,600–$115,200 a year
- Full-time
- Computer Science
- SQL
- Bachelor's
- Paid time off
Data Scientist II
TD Bank —Toronto, ON
- $81,600–$115,200 a year
- Full-time
- Computer science
- SQL
- No university degree
- Paid time off
1d
Data Scientist II
TD Bank —Toronto, ON
- $81,600–$115,200 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid time off
3d
Data Scientist III
TD Bank —Toronto, ON
- $96,900–$136,800 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Paid time off
18h
Senior Data Analyst (m/f/d)
autoTRADER.ca —Toronto, ON
- $110,000–$140,000 a year
- English
- SQL
- Mentoring
- Employee assistance program
Data Scientist - 12 month contract
CorGTA —Toronto, ON
- $60–$70 an hour
- Contract
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Research Data Analyst Neurotrauma
Unity Health Toronto —Toronto, ON
- $42.89–$53.61 an hour
- Temporary
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Outlook
Senior Data Analyst
Northeastern University —Toronto, ON
- $90,075–$139,620 a year
- Full-time
- Research
- SQL
- Project management
- Dental care
- Tuition reimbursement
8d
Senior Data Analyst
Instacart —Toronto, ON
- $126,000–$133,000 a year
- Remote
- Oracle
- Salesforce
- ERP systems
Quick apply
3d
Senior Data Scientist
Celestica —Toronto, ON
- $89,355–$124,739 a year
- Remote
- SQL
- AI
- Python
Senior Data Scientist
Coalition, Inc. —Toronto, ON
- $123,600–$187,000 a year
- Remote
- Computer Science
- Databases
- SQL
- Dental care
- Paid time off
Quick apply
Data Scientist II
Intact —Ajax, ON
- $94,200–$115,200 a year
- Full-time
- Hybrid work
- No experience needed
- Machine learning
- AI
- Employee stock purchase plan
Senior Data Scientist
Spin Master Ltd —Toronto, ON
- $100,000–$115,000 a year
- Full-time
- Hybrid work
- SQL
- Math
- Machine learning
- Flexible schedule
Data Scientist – Senior
Softline Technology —Toronto, ON
- Contract
- Research
- SQL
- Math
2d
Data Scientist - Algorithms, Mapping
Lyft —Toronto, ON
- $108,000–$135,000 a year
- Hybrid work
- Engineering
- Machine learning
- No university degree
- Commuter benefits
- Dental care
3d
Senior Specialist, Reporting and Analytics
GlaxoSmithKline —Mississauga, ON
- Up to $132,000 a year
- Full-time
- Hybrid work
- Computer Science
- Writing skills
- English
6d
Data Scientist or Decision Scientist
Venterra Realty —Richmond Hill, ON
- $110,000–$140,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
Quick apply
Data Scientist
BMO Financial Group —Toronto, ON
- $80,000–$175,000 a year
- Full-time
- Azure
- Doctoral degree
- Computer Science
- Tuition reimbursement
- Life insurance
2d
Senior Data Scientist
Index Exchange —Toronto, ON
- Full-time
- Computer Science
- Engineering
- Research
- Commuter benefits
- Dental care

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Staff Applied ML Engineer

Kaseya Careers
Toronto, ON

Apply Now

Job details

Skills

Law
PyTorch
Coaching
SQL
Pandas
Machine learning
Mentoring
Data analytics
APIs
Data science
AI
Model evaluation

Full job description

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Job Title:

Staff Applied Machine Learning Engineer (AI Workflows & Product Intelligence)

Why Kaseya?

Join a fast-growing company that's transforming the IT industry. At Kaseya, you'll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Job Summary

We're hiring a Staff Applied Machine Learning Engineer to build AI-powered workflows and data-driven product capabilities across Kaseya's product suite. This role focuses on applied ML, data analysis, model development, and production integration of AI features that help classify requests, recommend actions, route work, enrich data, and automate repetitive workflows. You'll partner with Product, Engineering, Data, and ML teams to deliver production-ready AI capabilities while helping teams adopt repeatable patterns for model evaluation, workflow design, and responsible AI usage.

Roles & Responsibilities

Analyze product and customer data using Python, pandas, SQL, PySpark, or similar tools to identify patterns and modeling opportunities
Build and productionize ML models for classification, recommendations, similarity, ranking, routing, and prediction use cases
Design AI-powered workflows that transform unstructured inputs such as tickets, emails, forms, messages, and logs into structured data
Partner with Engineering teams to integrate ML models and AI workflows into production systems through APIs, services, and automation logic
Define evaluation methods, telemetry, feedback loops, and monitoring practices for AI-powered product features
Build reusable patterns, templates, and best practices for data ingestion, feature creation, model usage, and responsible AI implementation
Provide technical guidance to product teams on AI opportunity sizing, ML design, model trade-offs, and production readiness
Mentor junior data and ML engineers through code reviews, model reviews, pairing, and technical coaching

Required Qualifications

5+ years of experience in data science, machine learning engineering, applied ML, or a related production-focused role
Experience building ML models for classification, recommendation, similarity, ranking, prediction, or related product use cases
Experience using Python, pandas, SQL, and PyTorch or similar tools for data analysis and model development
Experience using PySpark or similar distributed data processing frameworks
Experience integrating ML models into production systems through APIs, microservices, batch workflows, or automated product workflows

Preferred Qualifications

Experience with LLM-powered workflows, RAG, prompt engineering, fine-tuning, tool use, or agent orchestration
Experience building agent-assist features, automated resolution workflows, or AI-powered operational products
Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or similar platforms
Experience with production model monitoring, model evaluation, online experiments, or feedback loops
Experience applying matrix factorization, embeddings, clustering, dimensionality reduction, or latent factor modeling
Experience working in a platform or enablement role supporting multiple product teams
Experience mentoring data scientists, ML engineers, analysts, or software engineers on applied ML practices

Compensation Range

The base salary range for this job is CAD $220,000 – $280,000 / year.

An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, and abilities of the applicant. At Kaseya, certain roles are eligible for benefits and additional rewards. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.

Additional Information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

#IND525

Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Apply Now

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