Machine Learning Specialist or Data Scientist or an AI Developer

Role: Machine Learning Specialist or Data Scientist or an AI Developer (Remote within Canada)

• Please review the full posting carefully before applying.
• Applicants must currently be located in Canada and have valid authorization to work in Canada.
• For this contract opportunity, we are primarily considering Canadian Citizens and Permanent Residents.
• The compensation indicated for this opportunity is based on an incorporated contractor rate.

Please apply only if you meet the eligibility and contracting requirements outlined above.

• Client: Government of Alberta
• Remote contract opportunity – Machine Learning Specialist or Data Scientist or an AI Developer (Remote within Canada)
• Estimate Start Date: 01/09/2026
• Estimate End Date: 31/08/2027
• (Possible 6-month extensions)

Must have Include:

• · Bachelor degree in Computer Science or related field of study equivalencies will be considered.
• · 6 years’ Experience and comprehensive skills in using statistical and computer languages, e.g. R, Python, SQL.
• · 6 years’ Experience in building analytical and quantitative analysis models.
• · 6 years’ Experience in preparing data for prescriptive and predictive modelling.
• · 6 years’ Experience with and understanding of different approaches and methods for data analytics and data science (e.g. complex statistical modelling).
• · 6 years’ Experience with Artificial Intelligence (AI) or Machine Learning (ML) applied to data science or analytics, such as using ML for anomaly detection, predictive monitoring, or AI-assisted data transformation and automation.

Nice to Have Include:

• · 5 years’ Experience and knowledge of data sharing, data-linkage, de-identification, metadata, data quality, ethics, synthetic data and data literacy and how to promote use of government data.
• · 5 years’ Experience combining raw data from a variety of data sources within and across domains.
• · 5 years’ Experience in understanding complex businesses questions and framing the right analytical question to solve a business problem.
• · 5 years’ Experience preparing visualizations, dashboards, and analytical models.
• · 6 years’ Experience with and understanding of statistical and data mining techniques to address key business issues.
• · 4 years’ Experience working with large government datasets.

Project Name:

• Data Projects
• Scope:
• The Data and Content Management Division uses a one-government approach to information and privacy governance, decision-making, and service delivery across the Government of Alberta (GoA) balanced with individual client needs. This facilitates enhanced data access, collaboration, reduction in data duplication, and innovation to ensure effective and efficient services across the government to provide better services to Albertans.
• The Data Centre of Excellence requires a resource to support the design and development of analytical data products & services to enable the GoA to better leverage its data assets support implementation of the GoA Data Strategy. Working within a team, this resource is an expert, and plays a key role in ensuring high-quality data modeling, applying algorithms, de-identification, synthetic data creation, visualizations and development of evidence for use across ministries and with external stakeholders. This role will enact the pillars of the Data Strategy by using data to benefit Albertans
• The successful candidate will be a Machine Learning Specialist with a diverse range of analytical skills and experience in working in multi-faceted roles. The role may have aspects of any or all the following: machine learning (ML) model development, artificial intelligence (AI), data analysis, data science, AI development, data engineering, data modelling, statistical analysis, &, strategizing, advising, and data product design and delivery. There may be aspects of data architecture, technical analysis, and business analysis.
• Duties:
• Provides hands-on support, leadership, advice and direction on the strategic data initiatives that are being undertaken. A critical responsibility is to coordinate with various internal and external clients to understand their analytics needs and how to use the data to best meet these needs. The MLS creates tools, models, and analysis to apply artificial intelligence for better government policy and services. The MLS will work with cross-functional project teams to apply machine learning (ML). Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. Works with Manager Analytics Capability Centre to:
• Helps teams identify when (and when not) to apply ML, including identifying prerequisites for good ML applications.
• Facilitates, coaches, and mentors others in the application of ML to complex public challenges.
• Helps identify and select ML tools, services, and infrastructure.
• Creates data collection, normalization, and cleaning procedures.
• Creates training scripts and train models for specific domains using chosen ML packages.
• Runs ML driven analyses of large datasets and reports on findings.
• Creates ML analytics, reports, and insights to inform better services and policymaking.
• Integrates trained ML models within applications.
• Develops auditing, accountability, and transparency mechanisms for ML capabilities.
• Works within privacy legislation and provides ethical as well as practical guidance on ML implementation.
• Develop and share analytical models and products.
• Analyze and organize raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value.
• Support in development of full-stack data analytics or AI applications as required.
• Provide expertise and leadership in the design and competition of analytic projects.
• Conducting complex data analysis and collaborating with data engineers and analysts on various projects.
• Bring knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression.
• Gather and document client requirements.
• Capture business and technical metadata for ML products.
• Escalate issues and risks, as appropriate.
• Work within a multi-vendor/staff environment.
• Other responsibilities as required or requested.
• Deliverables:
• - Specific deliverables and due dates will be determined by the client team in conjunction with project management.
• - Status reports - weekly and monthly.

Equipment Requirements:

• Resource will require own equipment

Working Hours:

• • Standard Hours of work are 08:15 – 16:30 Alberta time, Monday through Friday excluding holidays observed by the Province
• • Work must be done from within Canada, due to network and data security issues.
• • It is anticipated the role will be 100% remote,
• Notes on Location:
• Remote (working remote all or majority of the time). This arrangement is subject to change and can be discussed further with the selected candidate.

Background Check Required:

Scoring Methodology:

• Financial/Pricing: 20%
• Resource Qualifications: 20%
• Interview Process: 60%

SUBMISSION MUST INCLUDE:

• • RESUME
• • ALL REQUIRED EXPERIENCE MUST BE DESCRIBED IN RESUME UNDER THE JOB/PROJECT WHERE EXPERIENCE WAS ATTAINED.
• • EACH JOB/PROJECT MUST CONTAIN THE TERM OF THE JOB/PROJECT IN THE FORMAT MMM/YYYY to MMM/YYYY.
• • THREE REFERENCES, FOR WHOM SIMILAR WORK HAS BEEN PERFORMED, MUST BE PROVIDED. THE MOST RECENT REFERENCE SHOULD BE LISTED FIRST. REFERENCE CHECKS MAY OR MAY NOT BE COMPLETED TO ASSIST WITH SCORING THE PROPOSED RESOURCE.