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About the Role

Join the Analytics team as a Data Scientist. You will introduce new analytics techniques, model complex problems to inform decision-making, enhance risk management, and build automated systems. This role requires proficiency in integrating and preparing large, varied datasets and communicating results to diverse audiences, including senior management.

Responsibilities

• Model complex analytics problems, discover insights, and identify opportunities using advanced statistical and predictive modeling techniques.
• Explore and implement complex techniques such as natural language processing, text mining, multivariate testing, machine learning, and deep learning.
• Support the maturity of the Analytics capability by introducing analytics approaches, leading knowledge transfer, and developing best practices.
• Conduct advanced data analysis and apply or develop appropriate complex algorithms to build, maintain, or enhance analytical solutions.
• Present, recommend, and communicate analytics solutions efficiently and understandably to various audiences, including senior management.
• Document progress, finalize model build books, share findings through presentations and reports, and apply visualization techniques for non-technical stakeholders.

Requirements

• An undergraduate degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Physics, or a related quantitative field. A Master's degree is preferred.
• A minimum of 3 years of experience with advanced analytics and data science technologies.
• Demonstrated proficiency in Python/R, SQL, and experience with a wide range of analytical techniques (e.g., supervised learning, clustering, NLP, time series analysis, A/B testing, regressions, correlations, statistical significance, network/link analysis, sentiment analysis, large language models).
• Solid experience manipulating large datasets and using databases, with proficiency in query languages such as SQL and Hive.
• Demonstrated experience working with Big Data technologies such as Spark, Cassandra, or Hadoop.
• Advanced critical thinking and problem-solving skills that drive creativity and innovation.
• A strong ability to manage multiple initiatives simultaneously and work within tight deadlines.
• An advanced ability to communicate abstract analytics findings to business teams.

Skills

• Python/R
• SQL
• Hive
• Spark
• Cassandra
• Hadoop
• Natural Language Processing (NLP)
• Text Mining
• Multivariate Testing
• Machine Learning
• Deep Learning
• Supervised Learning
• Clustering
• Time Series Analysis
• A/B Testing
• Regressions
• Correlations
• Statistical Significance
• Network/Link Analysis
• Sentiment Analysis
• Large Language Models
• Big Data Technologies
• Data Visualization

Location

• Montreal (QC)
• Calgary (AB)
• Halifax (NS)
• Ottawa (ON)
• Vancouver (BC)

Work Type

• Permanent Full Time
• Hybrid

Experience Level

• Minimum of 3 years working with advance analytics and data science technologies

Education Level

• Undergraduate degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Physics or any other related quantitative field
• Master's degree is preferred

Salary/Compensations

• $73,555.31 to $91,944.14

Benefits

• Annual Paid vacation
• Annual individual performance incentive
• Defined benefit pension plan
• Comprehensive group insurance plan
• Support towards personal and professional growth with training, mentorship and more
• An inclusive workplace culture and environment

About the Company

• The work you do and the work we do together matters. We come to work every day with a common purpose: to contribute to a well-functioning housing system.
• At CMHC, we hold ourselves accountable for our results and support our colleagues in their achievements.
• We thrive on collaboration, connecting across CMHC and involving the right people to get our work done.
• Our leadership style is guided by trust, where our leaders favour an adaptive approach based on the needs of their teams.
• Join us and be part of a team that's committed to making a real difference and be part of something meaningful.

Equal Opportunity

• We’re committed to employment equity and encourage women, Indigenous Peoples, persons with disabilities, veterans and persons of all races, ethnicities, religions, abilities, sexual orientations, and gender identities and expressions to apply.
• We also welcome applications from non-Canadians who are eligible to work in Canada.
• CMHC is an inclusive workplace where diversity of thought – and of people – are recognized, valued, and considered essential to achieving our mission.