Find your next opportunity

Job details

🚨 Hiring: Data Analytics Specialist / Data Scientist – Government of Alberta We are looking for an experienced Data Analytics Specialist / Data Scientist to support strategic data initiatives with the Government of Alberta’s Technology and Innovation division. 📍 Location: Remote within Canada 🏢 Occasional onsite meetings in Edmonton may be required ⏰ Hours: 36.25 hours per week 📅 Submission Deadline: July 16, 2026 🗓️ Expected Interviews: July 27–31, 2026 Key qualifications: ✅ Bachelor’s degree in Computer Science or a related field ✅ 6+ years of experience in data analytics, statistical programming and quantitative modelling ✅ Strong experience with predictive and prescriptive modelling ✅ Experience applying AI and machine learning to business problems ✅ Knowledge of statistical and data-mining techniques ✅ Ability to translate complex business questions into analytical solutions ✅ Experience developing dashboards, visualizations and analytical products Experience with data pipelines, cloud platforms, Spark, Hadoop, de-identification, synthetic data, metadata management and large government datasets will be an asset. Candidates must be located in Canada and available to attend occasional onsite meetings in Edmonton when required. Interested professionals can send me a direct message with their updated resume, availability, expected hourly rate and three professional references. #Hiring #DataScientist #DataAnalytics #MachineLearning #ArtificialIntelligence #GovernmentOfAlberta #EdmontonJobs #CanadaJobs #ContractJobs #DataEngineering

What you’ll do

The Data Analytics Specialist / Data Scientist will support strategic data initiatives within the Government of Alberta’s Technology and Innovation division. This role involves applying data analytics to solve business problems and developing analytical products.

Requirements

Candidates must have a Bachelor’s degree in Computer Science or a related field and at least 6 years of experience in data analytics and statistical programming. Strong experience with predictive modelling, AI, and machine learning is essential.

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Analytics
• Statistical Programming
• Quantitative Modelling
• Predictive Modelling
• Prescriptive Modelling
• AI
• Machine Learning
• Statistical Techniques
• Data-Mining Techniques
• Analytical Solutions
• Dashboards
• Visualizations
• Data Pipelines
• Cloud Platforms
• Spark
• Hadoop