Senior Data Scientist – Open Until Filled – Revised Salary Schedule

Senior Data Scientist – Open Until Filled – Revised Salary Schedule

SS3 Statistical Analyst 3


Department of Labour, Consumer Protection and Government Services

Data Science Branch

Winnipeg MB

Advertisement Number: 39259

Salary(s):   SS3 $71,491.00 – $86,717.00 per year

Closing Date:   August 31, 2022

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).

This is a preference competition. All applicants are encouraged to apply, however first consideration for this competition will be given to women, Indigenous people, visible minorities and persons with disabilities. Applicants are requested to self-declare at the time of application.

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

Candidates who do not meet all essential criteria may be considered on an underfill basis at a commensurate rate of pay.

A detailed position description is available upon request. We are considering and interviewing qualified applicants as received. This competition will remain open until filled.

We are building a team of enthusiastic people to turn data into good policy and governance. Our ambitions are high and many of our strategies have never been attempted before. We are hiring a talented data scientist to join a fearless team working to make an outsized impact.

As the data scientist, you will act as the technical expert in the Data Science Unit, completing specialized and complex data analytics projects. You will draw on your advanced knowledge of and experience with complex statistical methods, programming, data modelling and analytics to drive evidence-based decisions that have a positive impact on the lives of Manitobans. You will be a key player in the development of Manitoba’s broader data analytics strategy.

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 and supportive team.
  • Work with diverse and unique data not available in any other sector.
  • Have the freedom to suggest and pursue novel initiatives with a high degree of creativity.  

***Click here to access position profile***

Conditions of Employment:

  • Must be legally entitled to work in Canada
  • A satisfactory Criminal Record Check


  • Advanced graduate training in statistics, computer science, engineering, mathematics, physics, social sciences or related discipline (Master’s degree or higher), or equivalent work experience.
  • Extensive hands on experience working with large, complex datasets that require significant cleaning and management.
  • Extensive hands on experience using structured and unstructured data to design and execute predictive analytics and other quantitative research projects, including linear and non-linear statistical models, machine learning, deep learning, and related methodologies.
  • Extensive experience using statistical software and programming languages, specifically SQL and R or Python.
  • Experience working with big data and high-performance computing platforms (e.g. Google BigQuery, Google Cloud, AWS, Microsoft Azure) and using Jupyter Notebook/Lab.
  • Strong data visualization skills.
  • Experience communicating scientific knowledge and research to diverse and non-technical audiences.
  • Independent learner with excellent critical thinking skills, a commitment to research excellence and a meticulous eye for detail.
  • Effective leadership skills with the ability to work collaboratively in a team setting.
  • Excellent problem-solving skills with the ability to render technical decisions and recommendations.
  • Proven ability to manage priorities in the context of changing or unstructured work environments.


  • Experience with GIS analysis.
  • Experience working with multiple statistical software and programming languages.
  • Ability to use outcomes of data analytics to tell stories with actionable implications by clearly answering the “so what” question.
  • Knowledge of IT systems and structures, including industry best practices related to data storage, security, application deployment and development.

The Data Scientist serves as the technical lead in the Data Science Unit and works closely with the Director of Data Science to understand and realize the data needs and goals of client departments across government. The Data Scientist develops appropriate methodologies, aligning with available data and best research practices, and completes complex data analytics projects that address the questions and needs of departments and tell a story that influences policy with evidence-based recommendations. 

Apply to:

Advertisement # 39259

Service Centre 3

Human Resource Services

600-155 Carlton Street

Winnipeg, MB , R3C 3H8

Phone:  204-945-8819

Fax: 204-948-3382

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.


Applicants may request reasonable accommodation related to the materials or activities used throughout the selection process. When applying to this position, please indicate the advertisement number and position title in the subject line and/or body of your email. Your cover letter, resumé and/or application must clearly indicate how you meet the qualifications.

We thank all who apply and advise that only those selected for further consideration will be contacted.


View original article here Source