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Added 41 mins ago
Building Products Testing Technician
QAI Laboratories
Canada
Full-time
Diploma in Engineering Technology, Civil Engineering Technology, Construction Engineering Technology, Building Sciences, or a related technical discipline, or an equivalent combination of…
Added 41 mins ago
Mechanical Laboratory Technician
PLP
Montreal, QC
Full-time
Analyze, and interpret test data; prepare technical reports and summaries for engineering teams.
Added 41 mins ago
Gestionnaire de Produits Solutions Industrielles / Industrial Solutions Product Manager
Airbus Aircraft
Montreal, QC
Full-time
Gestionnaire de Produits Solutions Industrielles / Industrial Solutions Product Manager
Added 41 mins ago
Senior Advanced Quality Engineer - Mechanical
Ecolab Inc.
Calgary, AB
Full-time
The Senior Advanced Quality Engineer - Mechanical is a member of the Product Quality team, responsible for ensuring product quality on mechanical parts during the product development…
Added 1 hour ago
Product Manager, Specimen Management
BD
Mississauga, ON · CAN Mississauga - Derry Road West
$85,000 to $135,000 CAD / year
Full-time
Reporting to the Senior Marketing Manager, the Product Manager (SM) is responsible for developing and executing portfolio strategy throughout the product lifecycle. This includes…
Added 2 hours ago
Senior Manager, Organic Growth
Mistplay
Toronto, ON
$120,000 to $165,000 CAD / year
Full-time
Mistplay is seeking a strategic and hands-on Senior Manager of Organic Growth to help build and scale the organic acquisition engine for our fast-growing rewarded gaming platform. This…
Added 2 hours ago
Product Manager, Information Technology
University of Ottawa
Ottawa, ON · Vanier Hall
Full-time
Reporting to the Senior Manager, Information Technology, the incumbent manages the endeavours that support the strategic operations of a designated Faculty/Service and share this…
Added 2 hours ago
ENERGY MANAGEMENT ANALYST
City of Toronto
Toronto, ON
Reporting to the Senior Project Manager, Reporting & Compliance, the Energy Management Analyst will analyze, monitor, and track energy data in order to support implementation of energy and…
Added 2 hours ago
Mgr. Enterprise Risk Mgm
Rogers Communications
Toronto, ON
Undergraduate degree in computer science, engineering, data science, mathematics, statistics, information systems or a related discipline, or equivalent professional experience.
Added 4 hours ago
Compounding Manager
Manufacturing Job Site
Markham, ON
Full-time
The Compounding Manager is responsible for managing and overseeing all compounding activities to ensure batches are produced safely, efficiently, and in accordance with approved formulas,…
Added 4 hours ago
Commercial Manager
Mavcor Inc.
Mississauga, ON
Full-time
Role Description The Commercial Manager is a full-time, hybrid role based in Mississauga, ON, with flexibility for some work-from-home arrangements. This role is responsible for overseeing…
Added 5 hours ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Toronto, ON · Montreal, QC
…Salesforce Financial Services Cloud (FSC), Marketing Cloud, Data 360 (Formerly Data Cloud), Agentforce, and AI-enabled ways of…
Added 5 hours ago
Business Analyst
McAsphalt Industries Limited
Toronto, ON · Scarborough, ON
Full-time
…who can combine financial acumen, business curiosity, strong data skills, and clear communication to support corporate development priorities. Reporting to the Senior Manager, Corporate…
Added 5 hours ago
Senior Financial Analyst
Coca-Cola Canada Bottling Limited
Toronto, ON
Full-time
In this role, you will report to the Senior Manager of Supply Chain Finance and support the manufacturing pillar. The role involves close collaboration with the Continuous Improvement team,…
Added 6 hours ago
Manager, Fire Protection, Central/West
AtkinsRéalis
Toronto, ON · Vancouver, BC
Full-time
Serve as Project Manager, Regional Fire Protection Lead, Design Engineer, or senior technical advisor on complex fire protection and multidisciplinary assignments.
Added 6 hours ago
Design Manager, T1/T3 Revitalization
AtkinsRéalis
Toronto, ON
$125,000 to $160,000 CAD / year
Full-time
The Design Manager, T1/T3 Revitalization role will be hired under the Engineering Management Centre of Excellence group within the Engineering Management Technical Professional Organization…
Added 6 hours ago
Senior Health and Safety Manager
AtkinsRéalis
Toronto, ON
Full-time
AtkinsRéalis is hiring a Senior Manager, Safety & Security to join team supporting our latest Project in Toronto. The successful candidate will report to the Senior Director of HSE at…
Added 6 hours ago
Product Engineer
RaiseDesk
Remote, Canada
Full-time · Remote
We are looking for a Product Engineer to own major parts of the platform end to end, from data model and backend services through to the interface a customer actually uses. You will make…
Added 6 hours ago
Senior Applied AI Engineer
RaiseDesk
Remote, Canada
Full-time · Remote
We are looking for an Applied AI Engineer to own the intelligence layer of the platform: the data that powers investor discovery, the models and retrieval that rank and explain it, and the…
Added 6 hours ago
Senior QA Engineer
RaiseDesk
Remote, Canada
Full-time · Remote
The team is small and entirely senior. There is no project manager and no formal onboarding program. You will be given context and outcomes, and you will decide how to get there. We expect…
Added 6 hours ago
Senior Software Engineer II, Full Stack - Growth (Hybrid)
Homebase
Toronto, ON
$175,000 to $205,000 USD / year
Full-time
We’re looking for a Full Stack Senior Software Engineer 2 who’s passionate about building AI-powered, high-velocity systems that transform how our Growth, Sales, and Product teams operate.…
Added 7 hours ago
Lifecycle Optimization Manager
BGIS
Montreal, QC
Full-time
The Lifecycle Optimization Manager converts building condition, operational performance, energy and utility data, sustainability objectives, lifecycle requirements, lease obligations, and…
Added 7 hours ago
Delivery Solutions Architect
Databricks
Canada
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions…
Added 8 hours ago
Manager, Distribution Centre
Dollarama
Calgary, AB
The Assembly Manager is responsible for the operations of this department across two shifts, plays a key role within the Calgary Logistics Centre, and reports to the Senior Distribution…
Added 8 hours ago
Regional Sourcing Manager (Electronics Lane)
Husky Technologies
Bolton, ON
Full-time
Technical Aptitude – Advanced level analytical skills with a demonstrated ability utilizing data to support decisions with empirical evidence. Capable of understanding engineering documents…

Jobber

Staff Data Scientist, Applied ML

Remote, 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
Workplace: Remote
Posting language: English
Posted: Sep 29, 2026

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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!

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More about this job

Responsibilities

The Staff Data Scientist will own the development and maintenance of automated decisioning models and systems, including the SignalGraph project. They will also drive MLOps standards, mentor team members, and partner with senior leadership to translate data insights into actionable business strategies.

Requirements

Candidates must have extensive production-grade experience in machine learning, including deep learning, transformers, and RAG systems. Strong proficiency in Python, SQL, and cloud infrastructure, along with a solid foundation in statistics and stakeholder communication, is required.

Skills

Machine Learning
Python
SQL
Deep Learning
Transformers
Graph Neural Networks
RAG
MLOps
Snowflake
Apache Airflow
AWS
Data Science
Statistical analysis
System architecture
Mentorship

Benefits

Extended health benefits
Stock options
Retirement savings matching
Annual stipends for health and wellness
Career coaching
Leadership programs

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Science
SignalGraph
Neo4j
RAG
Transformers
BERT
MLOps
Snowflake
Apache Airflow
AWS
Python
SQL
Graph Neural Networks
Predictive modeling
Prescriptive analytics
SaaS
Drift detection
Feature store
CI/CD
Docker
Kubernetes
REST
gRPC
Statistical modeling
Data engineering
Cloud infrastructure
Stakeholder management
Mentorship
Strategy

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