Data Scientist

Location: Toronto, ON

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About Ontario Health (OH)

Ontario Health is the provincial agency responsible for ensuring Ontarians receive high-quality health care services where and when they need them. Since it was established in June 2019, Ontario Health has brought together the strengths of many existing health care organizations to work together to build a better health care system for all Ontarians. Building on the expertise and knowledge of our people, we are committed to applying the best of what we collectively do, and in partnership with others, to transform the health system and improve the quality and delivery of care for patients, families and health care providers.

Want to make a difference in your career? Consider this opportunity!

Ontario Health is seeking a Data Scientist, with a focus on Operations Research to join the Data and Decision Sciences Team (DDS), whose function is to drive advanced analytics innovations in healthcare delivery. The Data Scientist will possess a strong knowledge in advanced methods from mathematical programming, statistical modelling, and simulation modelling to deliver health system insights and decision tools. The Data Scientist works closely with all of Ontario Health programs as their trusted advisors in making strategic decisions to improve access, quality, sustainability, and person experience aspects of our healthcare system. In addition, the incumbent will support DDS projects by providing expertise in predictive and prescriptive model development, forecasting, and statistical inference from observational data. They actively produce models that help describe and predict patterns and clinical/business outcomes and identify recommended curses, of action under a variety of possible future scenarios.

Here is what you will need to be successful:

  • Articulate and Scope clinical and business questions around health system analysis and planning, and translate these into analytical products

  • Provide subject matter expertise in Operations Research

  • Design and develop data science solutions, including model definitions, data analysis and linkage, modelling methodology, and deployment

  • Develop data-derived features to represent clinical or business-relevant concepts in observational data

  • Build and validate simulation and optimization models of health system processes to predict outcomes of planning scenarios

  • Collaborate with decision scientists to embed data science products in decision science models and tools

  • Interpret and translate clinical, quality and business requirements into concepts and analytical plans at the appropriate level of abstraction

  • Present methods and insights from complex analyses to and builds consensus among people from different disciplines with varying degrees of technical experience

  • Make well thought-out decisions on complex and/or ambiguous issues

  • Facilitate or participates in knowledge sharing activities to promote thought leadership

  • Collaborate with OH leadership to develop and drive OH’s analytics offerings

  • Represent analytics offerings both internally and externally

  • Build OH’s analytics brand by actively, publishing and presenting projects to external industry and academic audiences

Education and Experience

  • Master’s degree (PhD preferred) in industrial engineering, computer science, applied mathematics, or recognized equivalents

  • Minimum One year of experience in designing, developing, and implementing modelling solutions including Discrete Event Simulation, System Dynamics, and Agent-Based Simulation

Knowledge and Skills

  • Expertise in R or Python is a must

  • Working knowledge of one or more data wrangling languages such as SAS or SQL a strong asset

  • Excellent interpersonal and communication skills (written and oral), ability to work in a fast-paced team environment as well as independently, and manage multiple analytical projects

  • Experience in setting corporate analytical and methodological standards an asset

  • Experience in using Ontario’s clinical and administrative databases a strong asset

  • Familiarity with AnyLogic simulation platform and Java an asset

Employment Location: Downtown Toronto (currently virtual)

Employment Type: Permanent Full-Time

Job Posting Close Date:

April 8, 2021

*** Mention DataYoshi when applying ***

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