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SE Careers

Data Scientist

Location: Markham
Job Code: 24933
Employment Status: Full time
# of openings: 1


Position Summary:

Are you a digital, data and analytics enthusiast who wants to help shape the future of Digital Health? The health care sector is transforming at a rapid rate, and there has never been a more exciting or important time to revolutionize how health care is delivered. SE Health is relentlessly focused on developing and deploying new and innovative strategies to help drive the company and its impact in the community forward. These strategies are backed up by a robust business intelligence foundation where decisions and future direction is driven by data insights. If data, analytics, artificial intelligence, machine learning, and its impact on health care excites you, join the team at Saint Elizabeth Health Care and be part of the data driven transformation journey.


As part of a multi-faceted collaborative team, the Data Scientist will play a key role in the creation of a next-generation data solutions based on analytics (descriptive, diagnostic, predictive, prescriptive) using statistical modeling, AI and Machine Learning. These solutions will be used by users to support strategic and/or day-to-day decisions. The incumbent will have hands-on involvement in all stages of the project lifecycle focusing on delivering data-driven operational improvements, building new data analytics capabilities and uncovering opportunities based on data insights at SE Health.


The Data Scientist works closely with stakeholders across all of SE Health as their trusted advisor in making strategic decisions to improve quality, performance, and user experience aspects of our home and community care business.



Become a trusted analytics advisor

  • Participate in requirements gathering and analysis activities. Understand and document requirements, business needs, processes, and data gaps
  • Develop meaningful understanding of SE data and challenges, as well as broad challenges within home and community sector in healthcare
  • Ensure alignment of data solutions with SE’s strategic goals and objectives
  • Be the point of contact for Data Science based data solutions in SE


Create innovative data solutions

  • Propose data solutions in consultation and collaboration with cross functional stakeholders / teams
  • Conduct advanced, in-depth exploratory data analysis (EDA)
  • Communicate and refine EDA based on stakeholder input, business processes and in consideration of data quality challenges
  • Propose ML baseline models based on best practices and sound literature review
  • Develop, configure and tune Machine Learning models using Python (via Jupyter, with Pandas or other appropriate libraries as deemed appropriate)
  • Develop data models and tools to predict, categorize, quantify, and forecast key performance indicators to support strategic decision making and operational improvements (Python)
  • Build machine learning models, optimize and deploy new models into production
  • Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving.
  • Perform descriptive and inferential statistical analysis in Python and/or Excel.
  • Leverage AI and Machine Learning (using Python) for data discovery, analytics, reporting and strategic business decision support
  • Maintain and expand existing Data Science/Machine Learning products and artifacts to ensure continuous growth and improvement
  • Support validation of existing models (QA testing against business requirements)
  • Validation/testing of developed artifacts (as well as development of user acceptance testing in collaboration with stakeholders)
  • Find ways to streamline ML processes and its promotion to our production environments


Share insights

  • Develops and presents material to various stakeholders and levels in the organization, using excellent written and verbal communications skills, with ability to express complex concepts effectively
  • Develop informative and visually appealing analytical reports and dashboards
  • Provide meaningful interpretation of analysis and results
  • Assist in the creation or enhancement of a data presentation tool
  • Train team members on use of vendor-created platforms, Dash, Python, and data science concepts
  • Train team members on data pipelines, feature engineering concepts and integration
  • Introduce data science capabilities, expertise, and tools to support organizational initiatives and data-driven decision making
  • Learn and leverage SE reporting / visualization tools (such as MicroStrategy, Dash) to accommodate and present work


Required Qualifications:

  • A Master's or PhD degree in Computer Science, Information Systems, Health Information Systems, Statistics, or related discipline with a special focus on Machine Learning/AI
  • Passionate about advancing and continuous learning in Data Science
  • Previous project or work experience utilizing AI/ML is a must
  • Must have either graduate-level project experience or at least 1 year of professional work experience
  • Expert-level Python programming
  • Strong understanding of SQL
  • Expert-level understanding of data analytics and data science principles particularly in areas of Machine Learning
  • Solid foundations in statistics - experience with statistical data analysis
  • Proficiency in developing analytical reports and dashboards to support data-driven decision making
  • Experience with large, complex datasets
  • Genuine interest in bleeding/leading edge analytics and Data Science technologies
  • Excellent verbal, written, and presentation skills
  • Self-motivated, ability to take direction, and work independently


Preferred Qualifications:

  • Experience and deep understanding of R
  • Experience in healthcare is considered a strong asset
  • Dash platform (preferred)
  • Supply chain data analysis, optimization, and forecasting
  • Familiar with data lifecycle
  • Custom development experience – .NET, web applications, etc.
  • Experience with Big Data technologies and approaches

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’re a great place to work, and we hope you’ll join our team.

SE Health is monitoring the global COVID-19 pandemic closely and following all public health directives, including recommendations from the World Health Organization, Government of Canada, and federal and provincial health authorities. Our top priority is the health and safety of our clients, their families and our staff.

Please note that due to the unprecedented circumstance of the Global Pandemic and the resultant public health crisis; and 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 Human Resources at   at your earliest convenience

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