All Things Urban

The City of Winnipeg is located at the junction of the Red and Assiniboine Rivers, almost at the geographic centre of North America. With an ethnically diverse population, Winnipeg is characterized by slow but steady growth. It is the eighth largest city in Canada and dominates the Manitoba economy.

Under the general direction of the Coordinator, Data and Analytics, the Senior Data Scientist will take on a multitude of leadership roles and collaborate with a multi-disciplinary team to address a wide range of problems within the context of the Department. This position will draw on leadership, scientific rigor, technical expertise, and statistical methods to help identify, monitor, govern, and address Department challenges and opportunities guided by principles of scientific method, sustainability, and innovation.

The Senior Data Scientist will work all across the organization to help shape the Department’s business and technical strategies by processing, analyzing, and interpreting data sets of all kinds. The Senior Data Scientist will also serve as a role model and champion in promoting an evidence-based, investigative culture across the organization by advising, consulting, and educating users.

• Identify, advise, and work with data sets of various context, purpose, scale and complexity to address Department challenges and opportunities.
• Architect, create and operationalize descriptive, diagnostic, predictive and prescriptive analytics and models to promote an evidence-based decision-making culture built on data and their derivatives.
  . Advise the organization and its business areas on ways to strengthen their data quality and applicability in business planning, operations, and research, and ensure data solutions comply with any applicable regulatory laws.
• Initiate and conduct continuous research and development of statistical methods, processes, and technologies to enhance data and analytics products and services.
• Lead the organization and its business areas to improve its data and statistical literacy, and adoption of appropriate technologies to problem solve and create insights for decision-making.

Your Education And Qualifications Include

• A Bachelor Degree in a relevant STEM discipline (e.g., Statistics, Mathematics, Actuarial Sciences, Finance, Computer Science, Data Science, Environmental Sciences, Engineering, Operations or related field). A Master’s Degree or higher is preferred.
• Any combination of training and/or certifications in Data Science, Statistics, Cloud Services, Machine Learning, Artificial Intelligence, Deep Learning, Natural Language Processing, Programming, etc. is preferred.
• Four (4) years of experience in data collection, writing summaries, and visualizing data.
• Four (4) years of experience with databases, ETL, and data warehousing including performing data wrangling and feature engineering.
• Four (4) years of experience designing and conducting research, analyzing complex issues and developing recommendation systems.
• Four (4) years of experience in data analytics, and interpretation of data and statistical models (e.g.A/B Testing, Clustering, Regression/Classification, and Explanatory Models.) including data preparation techniques, boosted algorithms, hyperparameter tuning, and model evaluation metrics.
• Four (4) years of experience programming in a general purpose programming language for application development and statistical computing.
• Four (4) years of experience programming in a programming language for managing databases.
• Four (4) years of experience with Machine Learning and AI techniques (e.g. supervised and unsupervised ML, decision trees, and logistic regression).
• Four (4) years of experience with designing, developing and operationalizing data visualizations, dashboards, and reports using business intelligence tools/platforms and/or application frameworks and libraries.
• Three (3) years of experience with advanced Machine Learning techniques (i.e., natural language processing, outlier detection, recommendation engines, etc.).
• Experience applying Privacy and Data Protection frameworks and standards, processes, and policies in work is preferred.
• Experience working with data governance and standardization frameworks is preferred.
• Experience leading others (directly or indirectly) in a team setting is preferred.
• Proficiency in the use statistical analysis tools is preferred.
• Applied knowledge of GIS (Geographic Information System) / GLI (Geospatial and Location Intelligence) / Geomatics, cartography and mapping is preferred.
• Proficiency working with Cloud-based platforms and services is preferred.
• Proficiency applying and using version control using tools is preferred.
• Strong analytical, problem-solving, structured thinking, and organizational skills, together with an ability to take initiative, multi-task and work under time constraints.
• Excellent verbal and written ability to communicate effectively with other professionals and all levels within the organization, and the ability to present research findings effectively to varying audiences.
• Demonstrated interpersonal skills and the ability to work cooperatively, collaboratively, and professionally with fellow employees at all levels, consultants and external stakeholders.
• Ability to establish and manage effective partnerships and agreements with a wide variety of community/business groups, agencies, associations and civic departments.
• Ability to provide technical leadership and mentorship to peers.

Conditions Of Employment

• The successful applicant must maintain legal eligibility to work in Canada. If the successful applicant possesses a work permit, it is their responsibility to ensure the permit remains valid.
  A Police Information Check satisfactory to the employer will be required from the successful candidate, at their expense.

CORE COMPETENCIES for ALL EMPLOYEES OF THE CITY OF WINNIPEG:

• Citizen & Customer Focus
• Respecting Diversity
• Ethics and Values
• Integrity and Trust
• Results Oriented

APPLY ONLINE, including all documentation listed below:

Current resume AND Application Form (Required).
Applications submitted without REQUIRED documentation will not be considered.
Your application documents must clearly indicate how you meet the qualifications of the position.*

Notes

Online applications can be submitted at http://www.winnipeg.ca/hr/ . For instructions on how to apply and how to attach required documents please refer to our FAQ's or contact 311. The City of Winnipeg uses the Korn Ferry Leadership Architect Competency Model as part of the recruitment process.

The salary range for this position is $2,953.75 to $3,967.49 bi-weekly.

Applicants may be required to undergo testing to determine their knowledge, abilities, and skills as they relate to the qualifications of the position.

The successful applicant will be required to complete job specific training required for this position as directed.

Flexible work arrangements which may include flexible hours, remote work, or a hybrid of remote work may be available under Administrative Standard AS-018 – Flexible Workplace; subject to review and approval.

We have great benefits and competitive salaries, and we are committed to ongoing learning and career development!

We value diversity in our workplace. Indigenous peoples, women, racialized peoples, persons with disabilities, 2SLGBTQ+ peoples and Newcomers are encouraged to self-declare.

Only candidates selected for interviews will be contacted. Requests for Reasonable Accommodation will be accepted during the hiring process.

We’re not fully sure whether this role is open to international candidates. If you would need visa sponsorship or work authorisation, we recommend checking directly with the employer before applying.