[Hiring] Machine Learning Specialist @P@thlion Staffing Careers

Role Description

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 and support the implementation of the GoA Data Strategy. This role will enact the pillars of the Data Strategy by using data to benefit Albertans.

• Provides hands-on support, leadership, advice, and direction on strategic data initiatives.
• Coordinates with various internal and external clients to understand their analytics needs.
• Creates tools, models, and analysis to apply artificial intelligence for better government policy and services.
• Works with cross-functional project teams to apply machine learning (ML).
• Services and project deliverables evolve as work progresses, responding to emerging user and business needs.
• Helps teams identify when (and when not) to apply ML, including 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 trains 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.
• Develops and shares analytical models and products.
• Analyzes and organizes raw data, preparing it for prescriptive and predictive modeling.
• Supports the development of full-stack data analytics or AI applications as required.
• Provides expertise and leadership in the design and competition of analytic projects.
• Conducts complex data analysis and collaborates with data engineers and analysts on various projects.
• Brings knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression.
• Gathers and documents client requirements.
• Captures business and technical metadata for ML products.
• Escalates issues and risks, as appropriate.
• Works within a multi-vendor/staff environment.
• Other responsibilities as required or requested.

Qualifications

• Machine Learning Specialist with a diverse range of analytical skills.
• Experience in multi-faceted roles including ML model development, AI, data analysis, data science, AI development, data engineering, data modeling, and statistical analysis.

Requirements

• Expertise in machine learning and data analytics.
• Ability to work collaboratively within cross-functional teams.
• Strong communication skills for coordinating with clients and stakeholders.
• Knowledge of privacy legislation and ethical considerations in ML implementation.

Benefits

• Opportunity to work on impactful government initiatives.
• Collaborative work environment with cross-functional teams.
• Professional development opportunities in data analytics and machine learning.