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.SE Health seeks a Lead Data Scientist (Data Science and Analytics) to bridge the gap between business needs and advanced analytical solutions. This unique role combines strategic business analysis with hands-on data science leadership, requiring someone who can seamlessly transition from stakeholder workshops to Python coding sessions.The successful candidate will own the end-to-end analytics lifecycle - from understanding complex healthcare workflows to deploying machine learning models in production. This hands-on position requires equal proficiency in stakeholder management and technical implementation, leading both the discovery of opportunities and the delivery of solutions. The scope of work includes: stakeholder management, requirements gathering, leading workshops, end-to-end Machine Learning (ML) hands-on development, data discovery and EDA, troubleshooting, deployment and testing.Key Responsibilities:1. Data Science & Machine Learning Leadership (65%)Hands-On Technical Development
Lead exploratory data analysis (EDA) and feature engineering efforts
Design, develop/code, and validate machine learning models
Implement MLOps best practices for model deployment and monitoring
Conduct advanced statistical analysis to derive model selection and training
Model Development: Lead end-to-end ML project development including EDA, feature engineering, model selection, training, and validation
Azure ML Implementation: Design and implement ML pipelines using Azure ML, including model deployment, monitoring, and retraining
Statistical Analysis: Conduct advanced statistical analysis, hypothesis testing, and model validation using appropriate methodologies
Python Expertise: Write production-quality Python code for data preprocessing, model development, and pipeline automation
ML Strategy & Architecture
Identify and help prioritize machine learning use cases across the organization
Champion adoption of predictive analytics in operations – this includes presenting results, solutions and their application
Design ML architectures leveraging Azure ML and TBD cloud services
Establish ML governance and ethical AI practices
Create reusable ML frameworks and accelerators
Technical Team Leadership
Lead and mentor data scientists and analysts
Project Management: Lead cross-functional ML projects from conception through deployment and monitoring
Peer Review: Conduct technical reviews of ML models, code quality, and deployment strategies
Establish technical standards for ML development
Oversee and Collaborate with data engineers on ML pipeline design
GoTool Platform Involvement
Manage and evolve the GoTool AI/MLOps platform (our in-house AI/ML platform)
Ensure platform reliability and performance
Drive platform enhancements based on user needs
Manage quarterly model refreshes and updates
Coordinate with stakeholders on platform roadmap
2. Business Analysis & Requirements Leadership (35%)Stakeholder Engagement & Discovery
Lead comprehensive requirements gathering using diverse methodologies (workshops, interviews, process mapping, surveys)
Facilitate analytical discovery sessions with clinical and operational leaders
Map complex healthcare workflows to identify analytics opportunities
Build deep understanding of departmental value chains and pain points
Solution Design & Consulting
Translate business problems into analytical solution architectures
Create business cases for predictive analytics initiatives
Design end-to-end analytical solutions spanning reporting to ML
Present complex analytical concepts in business-friendly language
Develop roadmaps aligning analytics capabilities with business strategy
Project Leadership
Lead cross-functional analytics projects from conception to value realization
Manage stakeholder expectations throughout project lifecycle
Ensure analytical solutions integrate seamlessly with business processes
Measure and communicate business impact of deployed solutions
Deep understanding of ML algorithms and their applications – the expectation is that the candidate has had previous experience implementing ML models in practical applications
Hands-on experience with Azure ML or similar cloud ML platforms
Strong statistical knowledge and experimental design
Must understand ARIMA model selection (ACF/PACF plots, stationarity testing, differencing), seasonal decomposition, and forecast validation techniques.
MLOps and model lifecycle management experience
ADS creation scripts (Python, Pandas, GeoPandas)
Analytics & BI Understanding
General knowledge of modern BI/analytics platforms
Experience with SQL and data manipulation
Business & Soft Skills:Requirements & Consulting
Proven track record and extensive experience leading requirements gathering for complex analytical projects
Proven track record of translating business needs to technical solutions
Experience with process mapping and workflow analysis
Strong facilitation and workshop leadership skills
Communication & Leadership
Exceptional written and verbal communication skills
Ability to influence without authority
Experience presenting to executive leadership
Strong project management capabilities
Mentoring and team development experience
Educational Requirements
Relevant degree in Data Science, Computer Science, Statistics, or related field; or combined experience
Healthcare industry experience is a strong asset
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.
