Data Scientist - Workforce Planning & Analytics

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:
The Data Scientist will develop and deploy machine learning solutions and business intelligence capabilities to support strategic workforce planning and operational decision-making across SE Health. This hands-on role focuses on building predictive models, automated analytics pipelines, and interactive dashboards to optimize workforce allocation, capacity planning, and resource management. The incumbent will lead end-to-end project delivery including requirements gathering, data engineering, model development, and production deployment using Python, Power BI, and cloud-based ML platforms. A key success criterion for the role is the ability to lead a data team across data engineering, business intelligence, report creation, requirements gathering, machine learning/data science, and deployment. 

Please note this role can be remote or hybrid.

Core Responsibilities:
 

Workforce Planning & Analytics

As part of a team: 

• Co-develop predictive models for workforce demand forecasting, capacity planning, and resource optimization
• Co-develop machine learning solutions for resource planning, employee lifecycle analytics, and succession planning
• Collaborate on creating workforce allocation algorithms to optimize staffing levels across service areas and geographic regions
• Co-develop early warning systems for workforce shortages, turnover prediction, and skill gap identification

Machine Learning & Data Science Development 

• Design, develop, and deploy production-ready ML models using Python (scikit-learn, TensorFlow, PyTorch)
• Implement MLOps pipelines for model training, validation, deployment, and monitoring
• Develop time series forecasting models (ARIMA, SARIMA, LSTM) for workforce and operational metrics
• Build clustering and classification models for workforce segmentation and performance analysis
• Create feature engineering pipelines and automated model retraining workflows
• Implement A/B testing frameworks for model validation and business impact measurement

Business Intelligence & Visualization 

• Develop interactive Power BI dashboards and reports for workforce planning stakeholders
• Data storytelling via expert reports, Power BI reports and dashboards, in addition to presentations, to communicate complex analytics to non-technical audiences
• Present data feasibility analysis results to the business; evaluate and present success/limitations of data science POCs; 
• Build semantic layer and data models in Power BI; connect to ML results 
• Design and implement KPI tracking systems for workforce metrics and operational performance

Requirements Gathering & Stakeholder Collaboration 

• Lead requirements gathering sessions with Finance, HR, Operations, Research and Operations teams
• Translate business needs into technical specifications and analytical solutions
• Facilitate data discovery workshops to identify workforce planning use cases and success metrics
• Facilitate requirements gathering meetings; co-create data specification documents
• Collaborate with cross-functional teams to define KPIs and measurement frameworks
• Present analytical findings and recommendations to executive leadership and operational teams

Technology Evaluation & Implementation 

• Evaluate and implement ML platforms (Azure ML, vs in-house, custom Python-based solutions)
• Assess and recommend workforce planning software and analytics tools
• Design proof-of-concept solutions for emerging workforce analytics use cases
• Stay current with workforce planning best practices and emerging analytics technologies

Required Qualifications:

• Strong Python programming skills (pandas, numpy, scikit-learn, matplotlib/seaborn)
• Moderate knowledge of SQL for data extraction and manipulation & preparation
• Power BI development for report creation and dashboard design
• Machine Learning expertise in supervised/unsupervised learning, time series forecasting, and deep learning
• Statistical analysis including hypothesis testing, regression analysis, and experimental design
• Cloud platforms experience with Azure ML, or similar cloud services
• Working knowledge of Jupyter notebooks & implementation of statistical analysis and machine learning techniques within it

Experience & Education:

• Ph.D. or Master's degree in Sciences, Statistics, Computer Science, Mathematics, Business, or related fields (Ph.D strongly preferred)
• 3+ years hands-on experience in data projects involving machine learning; BI dashboard/report development, and data engineering
• Previous experience with Power BI or Tableau for dashboard development is a must
• Project management or project leadership experience managing end-to-end analytics initiatives is a must. 
• Workforce planning or HR analytics experience strongly preferred
• Experience with healthcare data preferred

Core Competencies:

• Strong business acumen with ability to translate workforce challenges into analytical solutions
• Excellent communication skills for presenting complex analytics to diverse audiences
• Self-motivated with ability to work independently and manage multiple concurrent projects
• Experience with Agile development methodologies and cross-functional team collaboration

Preferred Qualifications:

• Healthcare industry experience particularly in home and community care
• Supply chain and operations optimization experience
• Advanced Power BI certifications (Data Analyst Associate or higher)
• Azure certifications (Data Scientist Associate, AI Engineer Associate)
• Workforce planning software experience (Workday, Salesforce, etc.)
   

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 at careers@sehc.com at your earliest convenience.