At a Glance
- Tasks: Lead innovative ML projects and build impactful models for real-time decision-making.
- Company: Join Jobber, a recognized leader in transforming small business services through technology.
- Benefits: Enjoy competitive salary, health benefits, stock options, and career development opportunities.
- Other info: Collaborative culture focused on inclusivity and professional growth.
- Why this job: Make a real impact in a fast-growing industry while working with cutting-edge AI technologies.
- Qualifications: Strong ML experience, deep learning expertise, and excellent communication skills required.
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.
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 50TM, Enterprise Fast 15, and Technology Fast 500TM lists.
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.
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 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, review peers' work, and mentor other scientists.
- 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 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.
Staff Data Scientist, Applied ML in Waterloo employer: Avenue.io Inc.
At AESO, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in a hybrid work environment. Our commitment to employee growth is evident through continuous learning opportunities and a supportive culture that values diverse perspectives. Join us in Alberta, where your expertise in grid analytics will not only advance your career but also contribute to the reliability and efficiency of our power system.
