Bilingual Data Scientist I

Canada Mortgage and Housing Corporation (CMHC) Société canadienne d'hypothèques et de logement(SCHL)

Canada Mortgage and Housing Corporation (CMHC) is dedicated to fostering a well-functioning housing system. The organization emphasizes accountability, collaboration, and flexibility, encouraging a supportive environment for achieving outstanding results. The Bilingual Data Scientist I position exists to strengthen their analytics capabilities, working closely with the team to deliver valuable insights.

In this role you can expect to have the responsibilities:

• Conduct data analysis and apply algorithms to uncover patterns.
• Develop and apply new approaches to analytics challenges.
• Research and experiment with technologies to enhance analytical methods.
• Collaborate with the Senior Manager and team to mature analytics capabilities.
• Support the development of best practices and knowledge transfer sessions.
• Integrate and prepare extensive datasets for data architecture.
• Model analytics problems and identify opportunities using statistical techniques.

This role comes with the following benefits:

• Accrued vacation.
• Annual performance bonus.
• Comprehensive group insurance coverage.
• Training and mentorship opportunities.
• Inclusive workplace culture.

This role requires you to have:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.
• At least 3 years of experience as a Data Scientist or similar role.
• Proficiency in Python, SQL, and Excel.
• Experience in statistical analysis, quantitative analytics, and algorithm optimization.
• Capability in analytical techniques such as supervised learning, NLP, and network analysis.
• Bilingual in English and French.

You would benefit from having:

• Knowledge of the Insurance or Mortgage industry.
• Familiarity with Power BI.

CMHC values diversity, equity, and inclusion, welcoming applicants of various backgrounds. Alternative work arrangements may be offered for Indigenous candidates.