Data Analytics Specialist Data Scientist

Data Analytics Specialist / Data Scientist

Government of Alberta (GoA) Technology and Innovation

Data Projects Data Centre of Excellence

Remote within Canada (must be available for occasional onsite meetings in Edmonton AB approximately 34 times per fiscal year)

• Type: Contract
  
• Hours: 36.25 hours/week
  
• Travel: Up to 15%
  
• Extension: Up to 6 months
  

The Government of Alberta is seeking an experienced Data Analytics Specialist / Data Scientist to support the Data Centre of Excellence in designing and delivering advanced analytical data products and services that enable evidence-based decision-making across government ministries.

The successful candidate will work on data analytics statistical modeling machine learning AI predictive analytics data engineering visualization and data product development while collaborating with technical teams and business stakeholders.

• Design develop and deliver analytical models and data products.
  
• Build predictive and prescriptive analytics solutions.
  
• Apply AI and Machine Learning techniques to solve business problems.
  
• Analyze clean transform and prepare complex datasets.
  
• Develop statistical and quantitative models.
  
• Create dashboards and visualizations.
  
• Build algorithms that deliver business value.
  
• Collaborate with business stakeholders to understand analytical requirements.
  
• Develop analytical frameworks roadmaps and recommendations.
  
• Support data governance metadata management and data quality initiatives.
  
• Work with data engineers and analysts on enterprise data projects.
  
• Present analytical findings and recommendations to senior leadership.
  
• Mentor team members and support continuous improvement initiatives.
  

Candidates must have:

• Bachelors Degree in Computer Science or a related discipline (or equivalent).
  
• 6 years of experience with Python R SQL or similar statistical/programming languages.
  
• 6 years building analytical and quantitative models.
  
• 6 years preparing data for predictive and prescriptive analytics.
  
• 5 years translating business problems into analytical solutions.
  
• 6 years applying data science methodologies and advanced statistical analysis.
  
• 6 years using AI or Machine Learning in analytics projects.
  

Experience with:

• Data sharing and data linkage
  
• Data de-identification
  
• Synthetic data
  
• Metadata management
  
• Data quality
  
• Government data
  
• React or Vue-based analytical applications
  
• Data pipelines
  
• Azure
  
• Snowflake
  
• Spark
  
• Hadoop
  
• Dashboards and visualizations
  
• Government datasets
  

• Python
  
• R
  
• SQL
  
• Machine Learning
  
• Artificial Intelligence
  
• Predictive Analytics
  
• Statistical Modeling
  
• Data Mining
  
• Azure
  
• Spark
  
• Hadoop
  
• Snowflake
  
• Data Visualization
  
• Dashboard Development
  
• Data Engineering
  
• Metadata Management