Senior Machine Learning Specialist​/Data Scientist

Client: Government of Alberta – Technology & Innovation

Project: Data Projects / Data Centre of Excellence

Location: Edmonton, Alberta

Work Arrangement: Remote within Canada; onsite meetings may be required

Hours: 36.25 hours/week

Contract Extension: Up to 6 months

The Government of Alberta's Data Centre of Excellence is seeking an experienced Machine Learning Specialist to support the design and development of analytical data products and services that advance the Government of Alberta Data Strategy.

The successful candidate will work as a technical expert within a cross-functional team, applying machine learning, artificial intelligence, data science, statistical analysis, data modelling, and advanced analytics to support government initiatives and improve services for Albertans.

This position may involve a combination of machine learning model development, AI development, data analysis, data science, data engineering, data modelling, statistical analysis, technical analysis, business analysis, and data product design and delivery.

• Provide hands-on technical leadership, advice, and direction for strategic data initiatives.

• Work with internal and external stakeholders to understand analytical needs and determine how data can best support business and policy objectives.

• Identify appropriate opportunities for applying AI and Machine Learning to complex public-sector challenges.

• Develop, train, evaluate, and implement machine learning models using appropriate tools and techniques.

• Create data collection, normalization, cleansing, and preparation processes.

• Prepare data for prescriptive and predictive modelling
  .

• Perform machine-learning-driven analysis of large datasets and communicate findings through reports and analytical products.

• Develop analytical models, reports, dashboards, visualizations, and insights to support government services and policymaking.

• Integrate trained ML models into applications and analytical solutions.

• Apply statistical classification and data-mining techniques, including methods such as clustering, partition trees, and logistic regression.

• Develop and share analytical models and data products.

• Support the development of full-stack data analytics and AI applications where required.

• Conduct complex data analysis and collaborate with data engineers and analysts across projects.

• Gather and document business and technical requirements.

• Capture business and technical metadata for machine learning products.

• Develop auditing, accountability, and transparency mechanisms for ML capabilities.

• Work within privacy legislation and provide ethical and practical guidance related to ML implementation.

• Identify and escalate project issues and risks as appropriate.

• Facilitate, coach, and mentor others in the application of ML.

• Help identify and select appropriate ML tools, services, and infrastructure.

• Work effectively in a multi-vendor and cross-functional environment.

• Perform other related responsibilities as required.

• Bachelor's degree in Computer Science or a related field
  . Equivalencies will be considered.

Candidates must demonstrate:

• 6+ years of experience using statistical and computer languages such as R, Python, and SQL
  .

• 6+ years of experience building analytical and quantitative analysis models.

• 6+ years of experience preparing data for prescriptive and predictive modelling
  .

• 6+ years of experience with data analytics and data science approaches and methods, including complex statistical modelling.

• 6+ years of experience applying Artificial Intelligence (AI) or Machine Learning (ML) to data science or analytics, including ML for anomaly detection, predictive monitoring, or AI-assisted data transformation and automation.

• 5+ years of experience with data sharing, data linkage, de-identification, metadata, data quality, ethics, synthetic data, and data literacy.

• 5+ years of experience combining raw data from multiple sources and domains.

• 5+ years of experience understanding complex business questions and framing appropriate…