Lead, Data Science and Analytics

Saint Elizabeth; Ontario; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading healthcare company in Ontario is seeking a Lead, Data Science and Analytics to drive advanced analytical solutions. This role combines technical expertise in machine learning with strong stakeholder management. Ideal candidates will have a master's degree and extensive experience in Python programming and data analysis. The position also offers flexibility in a supportive environment focused on meaningful impact.

Benefits

Competitive Compensation

Flexibility & Support

Growth & Development

Qualifications

• 5+ years leading data science projects.
• Expert in Python and data science toolkits.
• Experience in leadership and business analysis.

Responsibilities

• Lead end-to-end analytics lifecycle.
• Conduct exploratory data analysis and model selection.
• Mentor junior team members.

Skills

Python programming

Machine Learning algorithms

Data Analysis

Statistical knowledge

Leadership and mentoring

Education

Master's degree in Data Science

Tools

Azure ML

Power BI

Tableau

Job description

SE Health seeks a Lead, 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 position requires equal proficiency in stakeholder management and technical implementation, leading both the discovery of opportunities and the delivery of solutions.

Key Responsibilities:

1. Data Science & Machine Learning Leadership

Hands-On Technical Development

• Lead exploratory data analysis (EDA) and feature engineering efforts
• Design, develop, 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

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

Required Qualifications:

Technical Expertise

Data Science & Machine Learning (Must Have)

• Expert-level Python programming (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)
• Deep understanding of ML algorithms and their healthcare 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

Analytics & BI Understanding

• Comprehensive knowledge of modern BI/analytics platforms
• Understanding of data warehousing and ETL concepts
• Familiarity with Power BI, Tableau, or similar tools
• Experience with SQL and data manipulation

Business & Soft Skills

Requirements & Consulting

• 5+ years 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:

• Master's degree in Data Science, Computer Science, Statistics, or related field
• Healthcare industry experience preferred
• Relevant certifications (Azure Data Scientist, ML Engineering) a plus

Ideal Candidate Profile:

• We seek a "Technical Diplomat" who:
• Can run a stakeholder workshop in the morning and debug ML code in the afternoon
• Gets energized by both business problems and technical challenges
• Sees predictive analytics opportunities where others see routine processes
• Takes pride in solutions that work in the real world, not just in notebooks

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 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 [e-mail] your earliest convenience.