Senior Machine Learning Specialist​/Data Scientist

Position: Senior Machine Learning Specialist / Data Scientist
Candidates must demonstrate:

Machine Learning Specialist
Data Scientist / AI Developer
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

Position Overview
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.

Key Responsibilities

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 policy making.

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 elevate 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.

Requirements
Mandatory Qualifications
Education

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

Experience

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.

Nice-to-Have Qualifications

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 analytical questions.

5+ years  of experience preparing visualizations, dashboards, and analytical models.

6+ years  of experience with statistical and data-mining techniques.

4+ years  of experience working with large government datasets.

Work Schedule & Location

36.25 hours per week

Standard hours:  8:15 AM - 4:30 PM Alberta Time, Monday to Friday

Work must be performed  from within Canada .

The position is anticipated to be  100% remote .

The resource must be available for onsite meetings when required.

Onsite meetings may occur approximately  3-4 times per fiscal year  in Edmonton.

The Government of Alberta does not cover travel, relocation, commuting, accommodation, or related expenses for onsite meetings.

Deliverables & Reporting

Specific project deliverables and due dates will be established by the client team in…