Senior ML & Data Scientist - Remote (Public Sector)

Russell Tobin; Edmonton; On-site; CAD 110,000 - 131,000; Full time

Job summary

Russell Tobin is seeking a seasoned Machine Learning Specialist / Data Scientist in Edmonton, AB, with remote work options. You will design and develop analytical data products, apply AI/ML methods, and collaborate with data engineers, analysts, and stakeholders to deliver data-driven insights.

The role emphasizes data de-identification, synthetic data creation, visualization, and building analytical evidence and products to support decision-making in a public sector context.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Minimum 6 years of experience with statistical and computer programming languages.
• Minimum 6 years of experience developing analytical and quantitative models.
• Minimum 6 years of experience preparing data for prescriptive and predictive modeling.
• Minimum 6 years of experience applying AI and/or Machine Learning.
• Strong experience in statistical analysis, data mining, machine learning, and analytical modeling.
• Experience working with large and complex datasets.
• Strong ability to translate complex business questions into analytical and technical solutions.

Responsibilities

• Design and develop analytical data products and services.
• Develop and deploy machine learning models to address business needs.
• Contribute to data de-identification and synthetic data creation.
• Create visualizations and dashboards to communicate insights.
• Develop analytical evidence and products to support data-driven decision-making.

Skills

Machine Learning

Data Science

Statistical Modeling

Data Analytics

Data Engineering

Education

Bachelor's degree in Computer Science or related field

Job description

Russell Tobin is seeking a seasoned Machine Learning Specialist / Data Scientist in Edmonton, AB, with remote work options. You will design and develop analytical data products, apply AI/ML methods, and collaborate with data engineers, analysts, and stakeholders to deliver data-driven insights.

The role emphasizes data de-identification, synthetic data creation, visualization, and building analytical evidence and products to support decision-making in a public sector context.