Job posted by : Impact Infrastructure Canada, Inc DBA Autocase
Job Description
Job Responsibilities:
Research and Identify best sampling methodology for machine learning models built to estimate simulated target variables.
Write and maintain sample data creation scripts.
Implementing machine learning models to predict building energy simulation in a method that can be handed off to the development team for implementation in code base.
Improving model performance where possible and increasing the scale of coverage such as adding new building types, climate zones, and building codes.
Create complete model error analysis framework.
Optimize model sample size.
Maintain and re-build machine learning models when feature requests are provided by users.
Work on user facing visualizations of machine learning model error.
Work on user facing visualizations of design space and model prediction.
Provide related teams with progress updates.
Work with development team to implement sample data creation and model development scripts into code base.
Competencies and Education:
Bachelor degree in Mathematics or Statistics
Masters degree in Data Science , Mathematics, Machine learning or equivalent
Competency in Python
Experience with PowerBI, highCharts or other graphics package
Experience working in Agile development framework
2-5 years relevant work experience
Strong attention to detail
Strong analytical thinking skills
Self starter, keen to take initiative- identifying and solving problems
Ability to distil and communicate complex ideas to people of all skill levels
Interest in building science, sustainability, and economics
Experience in building energy simulation is seen as a strong asset
