Associate Data Scientist (Canada)

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.

With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.

At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.

Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

**Travel to Office expectations**

For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Key Responsibilities

• Extract data to build metrics or create/update Tableau dashboards to track success toward company, department, and customer KPIs
• Share insights with customers regarding drivers of success or areas of opportunity
• Research new ideas to help prioritize areas of focus
• Consult with internal and external customers to develop new dashboards, metrics, KPIs, outcomes evaluation, or ROI
• Respond to ad hoc analytic requests from internal and external customers
• Understand and use the data warehouse and relational databases
• Ensure accurate quality of deliverables by participating in peer review

Who you'll work with

• The Associate Data Scientist will work closely with other members of our Data Science department as well as many teams throughout the organization such as Market Directors, Solutions Design, Customer Success, Sales, Marketing, Product, Professional Services, and more.

Required Skills & Experience

• Bachelor’s degree (or equivalent experience) in data science, analytics, mathematics, statistics, public health, economics, social science, or actuarial science. Master’s degree preferred.
• 2-7 years of experience related to analytics work or equivalent combination of education and experience
• Previous healthcare related industry experience a plus
• Experience with data manipulation tools such as Python; data visualization tools such as Tableau; and data extraction via querying languages (SQL)
• Knowledge of all Microsoft Office applications, including Word, Excel, and PowerPoint
• Ability to meet deadlines, work with tight schedules, and manage multiple priorities under minimum supervision
• Excellent verbal and written communication skills
• Strong analysis skills
• Strong attention to detail
• Experience with cleaning, aggregating, and pre-processing data from varied sources. Experience creating complex SQL queries for standard as well as ad hoc data mining purposes.