Data Scientist

Recruitment Details Data Scientist

• Department: Winnipeg Police Service
• Designated
  
  Work Location:
  
  245 Smith Street, On-site
• Position Type: Permanent, Full-time
• Hours of Work: Monday to Friday, 0800 - 1600
• Salary: $3,977.94 - $4,812.58 bi-weekly
• Employee Group: Winnipeg Police Association (WPA)
• Posting No: 127306
• Closing Date: Friday, September 18th, 2026

Providing a wide range of services to over half of all Manitobans, The City of Winnipeg is one of the largest employers in Manitoba. We provide a comprehensive range of benefits and career opportunities to our employees. These include competitive salaries, employer-paid benefits, dental and vision care, pension plans, and maternity/parental leave programs. Additionally, we offer education, training, and staff development opportunities to ensure that our employees are equipped with the necessary skills to advance in their careers.

Our Benefits web page provides detailed information about the benefits we offer, and we encourage you to visit it for further information at City of Winnipeg Benefits . We take pride in fostering a , diverse , safe, and healthy workplace where our employees can thrive and achieve their full potential.

The City is committed to attracting and retaining a diverse, skilled workforce that is representative and reflective of the community we serve. Applications are encouraged from equity groups that have been and continue to be underrepresented at the City;
Indigenous Peoples, Women, Racialized Peoples, Persons with Disabilities, 2

SLGBTQQIA+ Peoples and Newcomers are encouraged to self-declare.

Requests for Reasonable Accommodation will be accepted during the hiring process.

Preference to internal applicants may be applied.

Under the general direction of the Senior Data Scientist, the Data Scientist is responsible for conducting large-scale and targeted statistical data analysis to identify trends and deliver, reports to both management and project stakeholders.

The Data Scientist leads the design, implementation, and integration of complex data systems and sources, oversees the development of advanced analytics models, and creates interactive dashboards and visualizations to support operational and strategic decision-making.

Leveraging deep knowledge of industry best practices and providing subject matter expertise, the Data Scientist fosters a data-driven culture and strengthens the organization's ability to accurately collect, analyze, and deliver actionable insights to support informed decision-making.

In the absence of the Senior Data Scientist, the Data Scientist may assume temporary oversite responsibilities of the section.

• Conduct large-scale and targeted statistical data analysis to identify trends, support critical decision making, and for reporting to both management and project participants.
• Lead the development, implementation, and integration of new and existing data sources, applications and reporting mediums.
• Contribute subject matter expertise to promote a data culture within the organization and enhance organization-wide capacity for accurately collecting, analyzing, and acting on data.
• Research and apply best data science practices to ensure accurate, efficient and scalable solutions aligned with industry standards and business goals.
• Other duties as assigned

• Bachelor's Degree in Computer Science, Statistics or related field.
• Certificate in Business Intelligence is an asset.
• Master's Degree is an asset.
• Minimum 48 months progressive experience in:
• SQL, RStudio, and/or Python
• Statistical Analysis System (SAS), Statistical Package for Social Sciences (SPSS), or other equivalent tools
• Data analytics, interpretation of data and statistical modelling
• Minimum 48 months experience with databases, performing Extract/Transform/Load (ETL) from various data sources, and data warehousing integration including organizing, compiling, manipulating, analyzing and summarizing large datasets.
• Experience with Artificial Intelligence, Machine Learning or Neural Networks is an asset.
• Knowledge of operational process asset management principles and practices and ability to integrate data science for the effective and efficient use within the Service's investment planning process.
• Knowledge of project management principles and the ability to manage multiple projects and coordinate and facilitate activities as assigned.
• Knowledgeable in utilizing data repositories and integrating open-source programming and tools to address specific requirements.
• Practical experience with graphic design principles for Power BI dashboard creation.
• Skilled in using business intelligence platforms and tools such as Power BI SAS, SPSS, Power Query, and Data Analysis Expressions (DAX).
• Proficient in Geographic Information Systems (GIS), Geospatial and Location Intelligence (GLI), including cartography and mapping techniques.
• Demonstrated advanced level proficiency in Microsoft Word and Excel.
• Demonstrated ability in data…