Data Scientist - Toronto, Canada - Ontario Health

Ontario Health

Verified Company

Toronto, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

At Ontario Health, we are committed to developing a strong organizational culture that connects and inspires all team members across the province.

Our vision is that together, we will be a leader in health and wellness for all. Our mission is to connect the health system to drive improved and equitable health outcomes, experiences and value.

How we work together is reflected through our five values:
integrity, inspiration, tenacity, humility and care.

What Ontario Health offers:
Achieving your career goals is a priority to us.

Benefits of working at Ontario Health may include the following based on employment type.- Fully paid medical, dental and vision coverage from your first day- Health care spending account- Premium defined benefit pension plan- 3 personal days and 2 float days annually- Individual contributors start at 3 weeks' vacation with 4 weeks at 2 yrs.- Career development opportunities- A collaborative values-based team culture- Wellness programs- A hybrid working model- Participation in- Communities of InclusionWant to make a difference in your career? Consider this opportunity.

The Data Scientist role is in the System and Infrastructure Planning department in the Division of Health Systems, Planning and Resource Optimization in the Health System Performance and Support portfolio at Ontario Health.

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 Data and Decision Sciences (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 courses of action under a variety of possible future scenarios.

Here is what you will be doing:

Articulate and scope clinical and business questions around health system analysis and planning, and translate these into analytical products-
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 Ontario Health leadership to develop and drive analytics offerings
Represent analytics offerings both internally and externally
Build Ontario Health's analytics brand by actively publishing and presenting projects to external industry and academic audiences

Here is what you will need to be successful:
Education and Experience- Master's degree (PhD preferred) in industrial engineering, computer science, applied mathematics, or recognized equivalents- Minimum one (1) year of experience in designing, developing, and implementing modelling solutions including Discrete Event Simulation, System Dynamics, and Agent-Based Simulation- Foundational knowledge of Machine Learning techniques, especially applied to tabular and time-series data- Proficiency in R or Python is a must- Working knowledge of one or more data wrangling languages such as SAS or SQL a strong asset- Experience in setting corporate analytical and methodological standards an asset- Experience in using Ontario's clinical and administrative databases a strong asset

Skills and Abilities- Excellent interpersonal and communication skills (written and oral)- Ability to work in a fast-paced team environment as well as independently- Ability to manage multiple analytical projects- Commitment to quality and high attention to detail- Strong critical and analytical thinking and problem-solving skills

Employment Type:
Temporary Full-Time (until March 2025)

Salary Band: 6

Internal Application Deadline Date:
April 23, 2024

Note:
As part of the initial recruitment screening process, applicants must confirm that they are fully vaccinated against COVID-19. If applicants are not fully vaccinated, they will be