Data Scientist

Job title:

Data Scientist

Company

Saint Elizabeth Health Care

Job description

Join us in re-imagining health care with the largest social enterprise in Canada. SE Health is leading a multi-year enterprise transformation project that leverages human-centered design to be at the forefront of innovation within the healthcare sector. As a leader in home care, we are expanding and enhancing our capabilities to provide personalized experiences using new platforms and cloud-native architectures, ensuring privacy and security by design. Our transformation is grounded in guiding principles drive to ensure that we prioritize team decisions, long-term planning, process standardization, data-driven insights, and balanced user adoption. If you are driven by the desire to have an impact, change the world of health care and shape the future, we invite you to be part of our journey.Position Summary:
As part of a multi-faceted collaborative team, the Data Scientist will play a key role in the creation of a next-generation data solutions based on analytics (descriptive, diagnostic, predictive, prescriptive) using statistical modeling, Machine Learning. These solutions will be used by users to support strategic and/or day-to-day decisions. The incumbent will have hands-on involvement in all stages of the project lifecycle focusing on delivering data-driven operational improvements. This is an operational, hands-on role that is strictly focused on analytical machine learning, MLOps, and practical, operational data science (rather than research). The Data Scientist works closely with stakeholders across all of SE Health as their trusted advisor in making strategic decisions to improve quality, performance, and user experience aspects of our home and community care business.Please note: The incumbent is expected to lead a project end-to-end: gather requirements, lead data discovery, co-design with end-users, gather data, develop/code, train peers, and assist with QA efforts.It’s a remote role; we welcome applicants who are legally eligible to work in Canada on an ongoing basis; they may currently reside outside of Canada.Responsibilities:Become a trusted analytics advisor

• Participate in complex requirements gathering and analysis activities. Understand and document requirements, business needs, processes, and data gaps
• Develop meaningful understanding of SE data and challenges, as well as broad challenges within home and community sector in healthcare
• Ensure alignment of data solutions with SE’s strategic goals and objectives
• Be the point of contact for Data Science based data solutions in SE

Create innovative data solutions

• Conduct advanced, in-depth exploratory data analysis (EDA)
• Communicate and refine EDA based on stakeholder input, business processes and in consideration of data quality challenges
• Propose ML baseline models based on best practices and sound literature review
• Develop, configure and tune Machine Learning models using Python (via Jupyter, with Pandas or other appropriate libraries as deemed appropriate)
• ADS creation scripts (Python, Pandas, GeoPandas)
• Develop data models and tools to predict, categorize, quantify, and forecast key performance indicators to support strategic decision making and operational improvements (Python)
• Build machine learning models, optimize and deploy new models into production
• Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving.
• Perform descriptive and inferential statistical analysis in Python and/or Excel.
• Leverage AI and Machine Learning (using Python) for data discovery, analytics, reporting and strategic business decision support
• Maintain and expand existing Data Science/Machine Learning products and artifacts to ensure continuous growth and improvement

Propose and Adopt ML/Data Science Technology

• Objectively evaluate different technologies: Azure ML, Databricks and in-house Python-based approach
• Share findings of the evaluation and obtain buy-in from stakeholders
• Find ways to streamline ML processes and its promotion to our production environments

Share insights

• Develops and presents material to various stakeholders and levels in the organization, using excellent written and verbal communications skills, with ability to express complex concepts effectively
• Provide meaningful interpretation of analysis and results
• Train team members on use of vendor-created platforms, Dash, Python, and data science concepts
• Train team members on data pipelines, feature engineering concepts and integration
• Introduce data science capabilities, expertise, and tools to support organizational initiatives and data-driven decision making
• Learn and leverage SE reporting / visualization tools (such as MicroStrategy, Dash) to accommodate and present work

QA

• Support validation of existing models (QA testing against business requirements)
• Validation/testing of developed artifacts (as well as development of user acceptance testing in collaboration with stakeholders)

Required Qualifications:

• Degree in Science, Mathematics, Computer Science, Information Systems, Health Information Systems, Statistics, or related discipline with a special focus on Machine Learning/AI (PhD degree is preferred)
• Project Leadership experience is a must – particularly in large data teams
• Previous project or work experience utilizing AI/ML is a must
• Expert-level Python programming
• Moderate understanding of SQL
• Expert-level understanding of data analytics and data science principles particularly in areas of Machine Learning
• Solid foundations in statistics – experience with statistical data analysis
• Expert-level understanding of ARIMA, clustering methods, MLOp concepts
• Proficiency in developing analytical reports and dashboards to support data-driven decision making
• Excellent verbal, written, and presentation skills
• Self-motivated, ability to take direction, and work independently

Preferred Qualifications:

• Experience in healthcare is considered a strong asset
• Supply chain data analysis, optimization, and forecasting
• Familiar with data lifecycle

Why Join SE Health?

• Competitive Compensation – Enjoy a Total Rewards package including salary, benefits, pension, performance incentives, on demand pay, car loan support and exclusive staff perks.
• Flexibility & Support – Our SE Flex program offers a unique hybrid model with work-from-home options, flexible scheduling, and a supportive culture to help you thrive.
• Meaningful Impact – As a Social Enterprise, your work directly supports improving lives across Canada. Your voice matters, and innovation is encouraged.
• Growth & Development – Access tuition assistance, training, and career advancement opportunities across our growing organization.

About SE HealthAt SE, we love what we do. Every day, we bring hope and happiness to clients, homes, and communities across Canada. We treat each person with dignity and love, like our own family; we build empathy; and we do the right thing. We are always inspired to make a difference. As a not-for-profit social enterprise, we share knowledge, provide the best care, and help each client to realize their most meaningful goals for health and wellbeing. We are an inclusive workplace offering competitive pay, benefits, pension, and work life balance. We’re a great place to work, and we hope you’ll join our team.In the interest of the health and safety of our patients/clients, employees, and greater good of public health, SE Health requires those that wish to work for this organization to be fully vaccinated against COVID-19. Fully vaccinated means a person has received both doses of the COVID-19 vaccine and it has been 14 days since the last dose.SE Health is committed to the success of all its employees. If you feel you need accommodations because of illness or disability, please do not hesitate to contact the Talent Acquisition team at at your earliest convenience.

Expected salary

Location

Canada

Job date

Wed, 27 Aug 2025 23:36:04 GMT

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