Applied Scientist in Data Science

**Applied Scientist in Data Science**:
SX2 Physical Sciences

Regular/full-time

Health, Seniors and Long Term Care

Data Science Program, Corporate Strategy and Admin

Winnipeg MB

Advertisement Number: 44081

Salary(s): SX2 $85,090.00 - $109,601.00 per year

Closing Date: April 21, 2025

The Manitoba government recognizes the importance of building an exemplary public service reflective of the citizens it serves, where diverse abilities, backgrounds, cultures, identities, languages and perspectives drives a high standard of service and innovation. The Manitoba government supports equitable employment practices and promotes representation of designated groups (women, Indigenous people, persons with disabilities, visible minorities).

Employment Equity is a factor in selection for this competition. Consideration will be given to women, Indigenous people and persons with disabilities.

An eligibility list may be created for similar positions and will remain in effect for 12 months.

What we offer:

- Be part of an unprecedented initiative to push the boundary of data use in government.
- Use data to inform policies that make a real and positive difference in the lives of Manitobans.
- Work within an innovative, collaborative, and supportive team.
- Work with diverse and unique data not available in any other industry.
- Have the freedom to suggest and pursue novel initiatives with a high degree of creativity.

Manitoba’s Data Science Program is recruiting for an Applied Scientist (Data Scientist) who will join a supportive and high-performing team with an exciting mission to transform government.

The Data Science Program has big goals - we are building a team of enthusiastic people to turn data into good policy and governance.

Conditions of Employment:

- Must be legally entitled to work in Canada
- Must be provide and maintain a satisfactory Criminal Record Check
- Must be able to work overtime hours as required

Qualifications:
Essential:

- Completed Master’s or Doctoral Studies in a quantitative discipline (including but not limited to mathematics, physics, econometrics, computer science, statistics, etc.) with extensive quantitative preparation.
- Strong written communication skills.
- Superior verbal communication skills including ability to present complex technical information to executive audiences.
- Ability to work independently while using individual judgement in resolving issues as they arise.
- Strong attention to detail to provide clear, accurate information and professional products to stakeholders.
- Strong interpersonal skills to build and navigate stakeholder relationships.
- Strong organizational and time management skills with the ability to balance tight deadlines and conflicting priorities.

**Duties**:
On a day-to-day basis, the position will:

- Deliver complex quantitative analysis and modelling in collaboration with Senior Applied Scientists and other individual contributors. This will include:

- Machine learning models.
- Predictive and prescriptive models.
- Complex analysis on non-traditional datasets (e.g., networks, free-text, images, video).
- Contribute to our supportive culture of analytical excellence through participating in peer review and collaboration.
- Produce decision-grade insights that shape the direction of government policy.
- Be responsible for overall quality of their work - including accuracy, completeness, appropriateness, reproducibility and overall alignment with expectations for quality analytical practice.
- Develop compelling narrative and custom visualizations which communicate insights and provide rich insight experiences for our clients.
- Advertisement # 44081
- Talent Acquisition - Executive Recruitment
- Human Resource Services
- 608-330 Portage Avenue
- Winnipeg, MB, R3C 0C4
- Phone: 204-945-6892
- Fax: 204-945-0601

Please be advised that job competitions for represented positions may be grieved by internal represented applicants. Should a selection grievance be filed, information from the competition file will be provided to the grievor's representative. Personal information irrelevant to the grievance and other information protected under legislation will be redacted.