Staff Data Scientist, Applied ML in Vancouver

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.

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.

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.

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.

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.
• Design, build, and evaluate retrieval-augmented generation (RAG) systems on top of that graph.
• Own production ML end-to-end: training pipelines, real-time serving, monitoring, drift detection, and retraining.
• Establish systematic evaluation and regression testing as a standard for the team.
• Set the technical bar and multiply the team: drive MLOps and ML engineering standards, shape our feature store and platform roadmap.
• Partner directly with senior leadership.
• Stay current, and bring it back.

To be successful, you should have:

• Production ML experience, end-to-end.
• A strong statistics foundation.
• Expert SQL and production-grade Python skills.
• Depth in modern ML methods.
• Experience designing for the real cost of being wrong.
• Experience with large data in production environments.
• Strong communication and stakeholder alignment skills.
• Ownership of quality over shipping speed alone.

It would be nice if you had:

• Graph experience.
• A software engineering background.
• Experience with Snowflake.
• Experience building LLM evaluation infrastructure.
• Exposure to risk, fraud, or fintech modelling.

Compensation: At Jobber, we 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.

What you can expect from Jobber:

• A total compensation package that includes an extended health benefits package.
• A dedicated Talent Development team and access to coaching, learning, and leadership programs.
• A unique opportunity to build, grow, and leave your impact on a $400-billion industry.
• To work with a group of people who are humble, supportive, and care about our customers.
• We believe that diverse teams perform better and that fostering an inclusive work environment is key.