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 Compensation – Enjoy a Total Rewards package including salary, benefits, pension, performance incentives, on demand pay, supportive housing and exclusive staff perks.
Flexibility & Support – We offer a unique hybrid model with work-from-home options, flexible scheduling and an inclusive 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 Health

At 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 [email protected] at your earliest convenience.

IND2025