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Détails du poste

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. Must Haves 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 Haves 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 5 years Experience with and understanding of statistical and data mining techniques to address key business issues. 4 years Experience working with large government datasets. 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.

Ce que vous ferez

The Machine Learning Specialist designs and develops analytical data products and AI models to support the Government of Alberta's Data Strategy. They provide leadership in applying ML to complex public challenges while ensuring data privacy and ethical implementation.

Exigences

Requires a Bachelor's degree in Computer Science or a related field and at least 6 years of experience in statistical languages, quantitative modeling, and AI/ML applications. Candidates should be proficient in preparing data for predictive modeling and handling large datasets.

Compétences indiquées

• Apprentissage automatique · Souhaitée
• Python · Souhaitée
• SQL · Souhaitée
• Visualisation de données · Souhaitée
• Analyse d’affaires · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Artificial Intelligence
• Python
• R
• SQL
• Data Modeling
• Statistical Analysis
• Data Engineering
• Predictive Modeling
• Data Visualization
• Anomaly Detection
• Data De-identification
• K-means Clustering
• Logistic Regression
• Data Mining
• Business Analysis

Domaines d’emploi

• Data & Analytics
• Technology
• Government & Public Sector
• Software
• Science & Research