Data Scientist

Who is eHealth Saskatchewan?

We may be biased, but eHealth Saskatchewan is the place to be right now! As the result of a province wide consolidation of IT services in the health care sector, we have seen substantial growth in our organization that is only going to increase as we aim to meet our expanded mandate and the immense need for our support. This gives our people a unique and rare opportunity to truly create, build, improve, and leave their mark on a growing organization.

A large and complex organization, eHealth is comprised of 30+ clinical and non-clinical program (service) areas that all work together to support healthcare providers and teams across the province in delivering the best possible care to patients, providers, citizens, and health system users. Programs range from primary care to acute care, and include laboratories, pharmaceuticals, and diagnostics. Additional programs that also support patient care and information, include Virtual Care, MySaskHealthRecord, and the provincial Electronic Health Record. eHealth is also responsible for administering various pieces of legislation to manage the registration of/changes to all vital event records (e.g., birth, marriage, death), legal name changes, and adoptions, as well as maintaining the provincial health registry for health services eligibility and distribution of health services cards.

eHealth teams engage directly with health system partners and other stakeholders both provincially and federally to ensure all services are delivered efficiently and effectively.

About The Role

Reporting to the Manager of Analytics, Data Quality and AI, we are seeking a skilled and experienced Data Scientist who has a passion for data and the desire to positively impact people’s lives in Saskatchewan. eHealth Saskatchewan provides services to other health system partners like Sask Cancer, Ministry of Health and SHA in order to fulfill their data and information needs. The successful candidate will be able to co-create solutions with our partners to achieve the desired results. You will provide mentorship and informal leadership for other team members including providing support, such as subject matter expertise or project coordinator for junior members on the team. To be successful in this role you will be curious, creative, adaptable, logical, a strong communicator, and a flexible team player.

The successful candidate will possess deep technical knowledge of data and analytics concepts, theories, and the ability to implement those concepts and theories. You will be able to use the available data to understand a situation and look for ways to improve the outcomes.

Typical Daily Duties:

1. Summarize and present conclusions, recommendations, and solutions to influence business and research partners, internal and external, in an easy to follow narrative with actionable insights for decision making.
2. Creation and maintenance of statistical or behavioral models representing past, present and future scenarios based on customer/business definitions and interactions incorporating descriptive, exploratory, inferential, causal, mechanistic, prescriptive, and predictive analytics.
3. Autonomous or semi-autonomous examination of sensitive data or content using sophisticated techniques and tools beyond those of traditional business intelligence to discover deeper insights, make predictions, or generate recommendations; for example, machine learning, pattern matching, forecasting, semantic/sentiment analysis, network and cluster analysis, multivariate statistics, simulation/optimization, complex event processing, or neural networks.
4. Serve as lead, mentor and project manager for regular/ongoing research projects which requires setting the tasks and deadlines of peers as well as reviewing their work.
5. Stay updated on emerging trends in AI, data science, and healthcare analytics.

What are we looking for?

The knowledge and skills required for this position would be attained through the completion of a master’s or above degree in data science, statistics, mathematics, computer science or other applied science field. In addition to educational requirements, you will have 5 years of experience working as a Data Scientist/Specialist, or similar role, within an integrated support environment. An equivalent combination of education and experience may be considered. Additional skills include:

1. Experience with database modeling/schema design including star and snowflake schemas.
2. Experience with requirements analysis and solution design techniques.
3. Experience with analytical tools and software (R, Python, SAS, etc).
4. Experience with statistical and analytical modeling including machine learning, pattern matching, forecasting, semantic/sentiment analysis, network/cluster analysis, and simulation/optimization.
5. Experience with reporting, dashboards and data storytelling using business intelligence software (Power BI, Tableau, etc).
6. Experience leading or managing projects in an analytical or data driven field.
7. Experience with knowledge of health, health data, and the healthcare system is an asset.

Competencies:
Communication

1. Ability to write and orally present a variety of detailed, accurate and clear (technical) material such as user, systems and requirements documentation and procedures, project plans, letters, requests for proposals, feasibility studies, recommendations and reports, at a level appropriate to the target groups.

Leadership

1. Ability to constructively lead, advise and encourage others to achieve success in their work and contribute to the effectiveness of the work team.

Problem Solving

1. Extract, recall, synthesize, conceptualize, and apply ideas, processes, and information to create creative and innovative new solutions.

Interpersonal

1. Ability to create an environment that recognizes, supports, respects and welcomes diversity of employees and clients.

Team/Independence

1. Build positive work relationships.
2. Work independently and participate as a team member to meet the needs of customers, partners and co-workers.

Organizational

1. Independently prioritize and organize your own workload to meet tight deadlines and successfully complete projects in a changing environment.

Analytical

1. Ability to identify, explore and evaluate options on data, processes and methodologies, information technology and potential systems design to make feasible recommendations.

Technical

1. Gather, understand, and synthesize specialized information in a way that can be applied to identify and meet the needs of the organization using a variety of programming languages.
2. Autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools.
3. Ability to design new or adapt existing systems/applications taking into account design alternatives, business requirements, and cost, resource and time constraints.

If this role sounds like the opportunity you have been looking for to challenge yourself, make a difference in people’s lives, and showcase your abilities, then we would love to hear from you.

Anticipated Start Date: May 2025
Grade: 11SID-SGEU
Location: Open to Saskatchewan (On-site)
Employment Type: Permanent Full-time
Location(s): SK-Rgna-Regina
Salary Range: $44.976 - $54.723
Salary Supplement: included in hourly salary range (in-scope)
We are committed to workplace diversity.
Number of Openings: 1

Apr 13, 2025, 11:59:00 PM