Lead Data Scientist

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 to bridge the gap between business needs and advanced analytical solutions. This unique role combines strategic healthcare analytics with 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 data science and machine learning models in production. This position requires 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 Data Science and Machine Learning (ML) accountability, data discovery and EDA, creation of compelling data visualizations/reporting, deployment and testing.

Please note this role can be remote or hybrid.

Key Responsibilities:

1. Data Science & Machine Learning Leadership

Technical Development

• Guide and mentor exploratory data analysis (EDA) and feature engineering efforts
• Design, develop/code, and validate machine learning models
• 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: Oversee design and implementation of 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

Technical Team Leadership

• 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
• Lead and mentor data scientists and analysts
• Establish technical standards for ML development
• Oversee and Collaborate with data engineers on ML pipeline design
• 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

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

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
• Lead 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

Required Qualifications:

Technical Expertise

Data Science & Machine Learning (Must Have)

• Python programming (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)
• Strong statistical knowledge and experimental design
• Experience with Azure ML or similar cloud ML platforms is a strong asset
• Model lifecycle management experience
• 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 Health Sciences, Analytics, Data Science, Computer Science, Statistics, or related field; or combined experience
• Healthcare industry experience is a strong asset – particularly in home and community care

Why Join SE Health?

• Competitive Total Rewards: So much more than a paycheque Enjoy comprehensive benefits, pension, flexible pay options, car-loan support, housing solutions and exclusive staff perks.
• Flexibility & Belonging: Thrive with hybrid work, flexible scheduling and a supportive, inclusive culture that puts people first.
• Purpose & Impact: Join a national social enterprise where your voice matters. Every role helps advance health, spark innovation and strengthen communities across Canada.
• Growth That Meets Your Ambition: Access tuition support, training and meaningful career pathways across a growing, future-focused organization.

About SE Health

SE Health is a not-for-profit social enterprise advancing health with heart. With 115+ years of impact, we bring hope, happiness and exceptional care to people and communities across Canada. We lead with empathy, dignity and purpose while building a future where everyone can realize their full health and well-being potential. We're also an inclusive, supportive workplace offering competitive compensation, strong benefits and real opportunities to grow. We're All In Together.

COVID-19: To protect the health of our clients, teams, and communities, all SE Health employees must be fully vaccinated (two doses, 14+ days since the final dose).

Accessibility: If you require accommodations due to illness or disability, please contact Talent Acquisition at

We use AI to take notes during our interview. All applications and interviews are reviewed by our Talent Acquisition team. This role is a new addition. The total target compensation for this position is $80,000 - $101,000. The compensation offered is determined based on the successful candidate's relevant experience, skills, and competencies, taking into consideration internal equity.