Find work in Canada.

324,920 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 8 mins ago
Senior Software Developer, BE
Coursera Sourcing
Toronto, ON
As a Staff Software Developer on the Monetization team, you'll lead technical initiatives and take significant ownership over service architecture, product API development, and data…
Added 22 mins ago
Staff UX Designer
BeyondTrust
Canada
Full-time
The Staff User Experience (UX) Designer will lead high profile projects for the BeyondTrust security software platforms. As the Staff UX Designer, you will be responsible for creating…
Added 23 mins ago
Senior Software Developer, BE
Coursera
Toronto, ON
As a Staff Software Developer on the Monetization team, you'll lead technical initiatives and take significant ownership over service architecture, product API development, and data…
Added 53 mins ago
Personal Banking Associate
TD
AB
Full-time
…our branch office who can guide customers to the appropriate staff member for resolving their financial queries and banking needs, including new accounts, investment advice and banking…
Added 53 mins ago
Student Office Assistant/Assistant(e) administratif(ve) étudiant(e) - CD - Law310
McGill University
Day, Chancellor,Hall
Part-time
…helping students, instructors, invigilators, and administrative staff navigate new examination processes and…
Added 53 mins ago
Senior Software Developer (Full stack)
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
Full-time
We are seeking a Senior Full-Stack Staff Developer to provide hands-on technical leadership across our web platform and digital experience ecosystem. This role will be responsible for…
Added 1 hour ago
Administrative Assistant
Burson
Toronto, ON
Full-time
…company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more…
Added 1 hour ago
Staff Accountant
Artemis
London, ON
Full-time
A private equity-backed specialty trades organization is seeking a Staff Accountant to join its growing team in London, ON. As the company continues to expand through acquisitions, this is…
Added 1 hour ago
Staff Frontend Engineer – Microfrontends
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Partner with Platform/DevOps teams to enhance CI/CD, observability, and deployment processes.
Added 2 hours ago
Student Office Assistant/Assistant(e) administratif(ve) étudiant(e) - CD - Law310
McGill University
Montreal, QC
Part-time
…helping students, instructors, invigilators, and administrative staff navigate new examination processes and…
Added 2 hours ago
RECEIVER (Morning Shift: 6:00AM - 2:30PM)
Authentic T-Shirt Company
Mississauga, ON
Up to $21 CAD / hour
Full-time
Able to work from Reach truck platform at heights of 20 feet or more
Added 3 hours ago
Resident Services Coordinator
Hazelview Properties
Toronto, ON
Full-time
Staff the building's front desk during all scheduled concierge shifts - this is the primary service touchpoint for residents and a core function of this role
Added 3 hours ago
Retail Shift Leader
Canna Cabana
Calgary, AB · Marlborough, Calgary, AB
Full-time
Greet and assist customers in a way that models exemplary conduct to other staff
Added 3 hours ago
Clinical Research Coordinator
McGill University
Montreal, QC
Full-time
Submit and maintain ethics applications, amendments, and renewals in our research platform, ensuring compliance with REB, institutional, and sponsor requirements.
Added 3 hours ago
PL/SQL Developer
CMiC
Remote, Canada
Full-time · Remote
…on the Construction industry. We have built a comprehensive platform for construction companies to manage their most important workflows. Our customers have their choice of a SaaS or…
Added 3 hours ago
Administrative Assistant
Burson
Toronto, ON
…company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more…
Added 4 hours ago
Principal Platform Engineer
SkyWatch
Remote, Canada
Full-time · Remote
Our suite of applications is tailored to meet the diverse needs of users on the SkyWatch platform. Whether you are an individual purchasing data for a project, a business seeking to store…
Added 4 hours ago
PL/SQL Developer
CMiC
Toronto, ON
Full-time
…on the Construction industry. We have built a comprehensive platform for construction companies to manage their most important workflows. Our customers have their choice of a SaaS or…
Added 4 hours ago
Head, Business Intelligence Unit
National Film Board of Canada
Montreal, QC
Full-time
Leads performance measurement and analysis across organizational, audience, platform and marketing data to identify trends, opportunities, risks and emerging issues that inform strategic…
Added 4 hours ago
Mechanical Engineer, Medical Devices
CuraDrone
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
Our platform rests on three pillars: magnetotactic bacteria that serve as a biological vector, bioconjugation expertise for attaching therapeutic agents to the surface of the bacteria, and…
Added 4 hours ago
SENIOR TECHNICAL SUPPORT SPECIALIST 1 (File Services Lead)
City of Toronto
Toronto, ON
Reporting to the Manager, Infrastructure & Platform Services (I&P), this role leads the File Services team, ensuring the availability, security, and integrity of shared file access across…
Added 5 hours ago
League Manager - Part-Time (Winnipeg)
Brodie Rec League
Winnipeg, MB
Part-time
…your crew across seats so every court is covered, redeploy staff when a game forfeits, hold the standard in the moment (uniform, positions, focus, branding), and coach, document and…
Added 5 hours ago
Concession Runner | Part-Time | Enercare Centre
Oak View Group
Toronto, ON
$19 CAD / hour
Part-time
Oak View Group (OVG) is the global leader in premium live entertainment infrastructure and services, with a platform spanning venue development and end-to-end capabilities across venue…
Added 5 hours ago
Catering Server | Part-Time | Enercare Centre
Oak View Group
Toronto, ON
$23 CAD / hour
Part-time
Oak View Group (OVG) is the global leader in premium live entertainment infrastructure and services, with a platform spanning venue development and end-to-end capabilities across venue…
Added 5 hours ago
Technical Delivery Manager
Intelex Technologies ULC
Canada
Full-time
This role partners closely with Engineering Managers, Architects, CloudOps, SRE, DBA, DevOps, Security, and Platform Engineering teams to translate infrastructure priorities into actionable…

Jobber

Staff Data Scientist, Applied ML

Vancouver, BC, Canada

Pay: This role has a minimum annual salary of $145,900 CAD, a midpoint of $171,600 CAD and a maximum salary of $197,400 CAD designed to reflect the progression from learning the ropes to truly excelling.
Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

Apply About employer

Applications open in a new tab.

Original job description

Are you a Machine Learning practitioner who is technically deep and commercially sharp?

If so, this might be the role for you! We're looking for a Staff Data Scientist, Applied Machine Learning (ML) to join our growing Data Science team.

Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn't like it used to be - the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That's why we put the power and flexibility in their hands to run their businesses how, where, and when they want!

Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada's Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail's Canada's Top Growing Companies list, and Deloitte Canada's Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. With an Executive team that has over thirty years of industry experience of leading the way, we've come a long way from our first customer in 2011 - but we've just scratched the surface of what we want to accomplish for our customers.

We help employees grow professionally; we have a ton of onboarding resources, tutorials, hackathons and buddies to support learnings and provide opportunities to innovate. We have a range of experience levels on teams which allows for mentor/mentee opportunities. Leaders at Jobber work with empathy and support employees to build healthy work-life harmony. Bring your dedication and passion to this job to fulfill your goals.

The team:

Similar to how Jobber empowers small businesses with the tools and insights they need to succeed, the Strategy and Analytics Department ensures our people at Jobber have the tooling, data insights, and strategic direction to excel in our shared mission. We turn data into actionable insights, and critical business needs into impactful software, working with multiple teams and departments across the company. Strategy & Analytics serves as a central hub that drives business outcomes in all corners of Jobber's ecosystem.

Within that department, Data Science is the predictive and prescriptive arm. We're a small, hungry team with an outsized footprint. We work in two-week sprints, demo to the whole department, and expect each other to bring a point of view rather than a ticket.

SignalGraph is our next major project: a company-wide metric graph that connects organizational activity and outcomes so teams can trace metric movement to root causes, investigate faster, and make better decisions.

The role:

Reporting to the Manager, Data Science, the Staff Data Scientist, Applied Machine Learning will own models and systems for automated decisioning. You will train and evaluate models using techniques such as graph representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's product.

This is a senior individual contributor role with strong architectural scope. You'll be the person who decides how ML systems at Jobber are built, evaluated, and trusted and you'll be doing it against a dataset most companies our size don't have: high-velocity SaaS event data, scheduling data, and payments data across hundreds of thousands of service professionals and millions of their clients, plus a rich body of unstructured sales and support text.

The Staff Data Scientist, Applied Machine Learning will:

Continue building, improving, and maintaining SignalGraph: evolve metric-family contracts, keep segment and causal-edge catalogs trustworthy, operate the Neo4j and series-refresh pipeline, and strengthen investigation diagnostics so teams can trace metric changes to root causes and make faster decisions from governed evidence..
Design, build, and evaluate retrieval-augmented generation (RAG) systems on top of that graph. You’ll own retrieval quality, context management, and the evaluation harness that proves the system is actually right, not just fluent.
Own production ML end-to-end: training pipelines, real-time serving, monitoring, drift detection, and retraining. When a model is live, its uptime, latency, and accuracy are yours.
Establish systematic evaluation and regression testing as a standard for the team - so model and LLM system quality is measured and defended over time rather than assessed once at launch.
Set the technical bar and multiply the team: drive MLOps and ML engineering standards, shape our feature store and platform roadmap, review peers' work, and mentor other scientists on graph and deep learning methods.
Partner directly with senior leadership. Much of what you build will be used by Senior Leaders, Customer Analytics, Business Intelligence, and Product to make decisions against Jobber's North Star goals. You'll present your own work, defend your assumptions, and help cross-functional partners reframe how they approach a problem.
Stay current, and bring it back. We expect this role to be the most informed person at Jobber on developments in AI/ML methodologically, not just as a consumer of tools, and to translate that into shipped capability.

To be successful, you should have:

Production ML experience, end-to-end. You've trained, deployed, served, and maintained models that acted on real users (not just scored offline) You've learned the hard lessons about retraining, drift, and technical debt that come with it.
A strong statistics foundation. You can reason about bias and variance, justify a loss function, and tell signal from noise without hand-waving.
Expert SQL and production-grade Python skills.
Depth in modern ML methods: Deep learning and neural architectures, transformers/BERT-family models, RNN/CNN, ranking, and representation learning, with hands-on experience applying LLMs in production systems, including RAG and context management.
Experience designing for the real cost of being wrong. You've built or tuned custom and asymmetric loss functions where a miss in one direction is far more expensive than the other, and you can explain the business reasoning behind the choice.
Experience with large data in production environments and the platforms that support it. ML/AI platforms such as Snowflake, orchestration with Apache Airflow, and cloud infrastructure (AWS strongly preferred; GCP or Azure equivalent considered).
Strong communication and stakeholder alignment skills. This team's work only lands if everyone shares the same understanding of what the data means. You can take a room of technical and non-technical partners from confusion to alignment, present uncertainty honestly, and influence without authority.
Ownership of quality over shipping speed alone. You want to know why something works and how to make it better. You don't accept a model's current performance as its ceiling, and you don't outsource your understanding of your own code to an AI assistant.

It would be nice if you had:

Graph experience: Graph theory, graph neural networks, knowledge graphs, or graph databases such as Neo4j. Rare, and the single most valuable thing you could bring to this role.
A software engineering background: Services and model serving (REST/gRPC), Docker/Kubernetes, CI/CD, feature stores.
Experience with Snowflake, including Snowpark and Snowpark Container Services, or a comparable path from warehouse to deployed model.
Experience building LLM evaluation infrastructure, safety layers, or LLMOps for customer-facing AI.
Exposure to risk, fraud, or fintech modelling, or to recommendation and ranking systems at scale.

Compensation:

At Jobber, we also believe that compensation should be transparent, fair, and supportive of your experience and growth. This role has a minimum annual salary of $145,900 CAD, a midpoint of $171,600 CAD and a maximum salary of $197,400 CAD designed to reflect the progression from learning the ropes to truly excelling.

We design our compensation to reflect each new hire's skills, experience, and the complexity of the role, ensuring a fair and competitive salary.

Our range is intentionally broad to support growth and long-term impact, with fully established hires typically starting around the midpoint. The higher end of the range is reserved for those who have demonstrated deep expertise and lasting contributions, while offers below the midpoint reflect strong potential with room to develop. This approach ensures that compensation aligns with both an individual's current capabilities and their opportunity for future growth.

Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. Your professional growth matters to us too! You'll have access to a dedicated talent development program that includes career coaching and opportunities for career development.

We believe in transparency and open conversations about compensation. If you have any questions about our approach, we're happy to discuss them throughout the hiring process!

What you can expect from Jobber:

A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, matching in RRSP, TFSA or FHSA, and stock options.
A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential.
A unique opportunity to build, grow, and leave your impact on a $400-billion industry that has no dominant player...yet.
To work with a group of people who are humble, supportive, and give a sh*t about our customers.

We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process.

A bit more about us:

Job by job, we’re transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid! We’re bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help make these small businesses successful, and when they’re successful we all win!

Apply About employer

More about this job

Responsibilities

Own and improve SignalGraph and build graph-based retrieval-augmented generation systems, including retrieval quality, context management, and evaluation. Lead production ML end to end, establish quality and engineering standards, mentor scientists, and partner with senior leaders and cross-functional teams to deliver reliable, scalable decision systems.

Requirements

Requires end-to-end experience training, deploying, serving, and maintaining production ML models, a strong statistical foundation, and expert SQL and production-grade Python skills. Candidates should have hands-on expertise in modern deep learning and LLM methods, production data platforms and cloud infrastructure, and the communication skills to align technical and non-technical stakeholders.

Skills

Production Machine Learning
Statistics
SQL
Python
Deep Learning
Transformers
Ranking Systems
Representation Learning
Large Language Models
Retrieval-Augmented Generation
MLOps
Model Evaluation
Graph Machine Learning
Apache Airflow
Snowflake
AWS

Benefits

Equity Rewards
Health And Wellness Stipends
Retirement Savings Matching
Extended Health Benefits
Fully Paid Health Premiums
Stock Options
Career Coaching
Learning And Leadership Programs

Visa sponsorship

Not detected in the job text

Keywords

SignalGraph
Graph Representation Learning
Graph Neural Networks
Knowledge Graphs
Neo4j
Retrieval-Augmented Generation
Large Language Models
Transformers
BERT
RNN
CNN
Ranking
Production Machine Learning
MLOps
Feature Stores
Model Serving
Model Monitoring
Drift Detection
Evaluation Harness
Regression Testing
SQL
Python
Snowflake
Snowpark
Apache Airflow
AWS
GCP
Azure
Docker
Kubernetes

Report this job