Data Scientist

Job Requisition : 12331

Position Status: Permanent Full Time

Position Type: Hybrid

Office Location: Montreal (QC);
Calgary (AB);
Halifax (NS);
Ottawa (ON);
Vancouver (BC)

Travel Requirement: Limited

Language Designation: English Essential

Language Skill Levels (Read/Write/Speak): ZZZ

Security Requirement: Reliability Status

Salary: Our salaries generally range from $ 73555.31 to $ 91944.14 and are based on qualifications and experience.

About CMHC

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.

What’s in it for you

We’ve got the purpose, the people and the perks you need for a fulfilling career. Here’s the comprehensive and generous benefits you get when you’re a permanent employee:

• Annual Paid vacation.
• Annual individual performance incentive.
• Defined benefit pension plan.
• Comprehensive group insurance plan to support your well-being from day one.
• Support towards your personal and professional growth with training, mentorship and more.
• An inclusive workplace culture and environment.
• While positions at CMHC require some in-office presence, alternative work arrangements may be considered for Indigenous candidates.

About the role

Join the Analytics team, in the Data Scientist position. In this role, you will be responsible for introducing new, innovative analytics techniques and modeling complex problems to inform decision making, enhance risk management and build automated systems. This role involves proficiency in integrating and preparing large and varied datasets, and communicating these results to various audiences, including senior management.

What you’ll do:

• Responsible for modeling complex analytics problems, discovering insights and identifying opportunities through the use of 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 techniques.
• Work with the Analytics team to support the maturity of the Analytics capability by introducing analytics approaches, lead knowledge transfer activities, and develop and introduce best practices.
• Conduct advanced data analysis and apply or develop appropriate complex algorithms. In doing so, you will apply advanced statistical and predictive modeling techniques to build, maintain, or enhance analytical solutions.
• Present, recommend and communicate analytics solutions in an efficient and easily understandable way to a wide variety of audiences, including senior management.
• Document progresses, finalize model build books, share findings through presentations and reports, and apply visualization techniques that can easily be comprehended and simplified for non-technical stakeholder audiences.

What you need:

• An undergraduate degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Physics or any other related quantitative field. Master’s degree is preferred.
• A minimum of 3 years working with advance analytics and data science technologies.
• A demonstrated proficiency in Python/R, SQL and an experience using a wide range of analytical techniques (e.g. supervised learning, clustering, natural language processing (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. Proficiency in using query languages such as SQL and Hive.
• A demonstrated experience working with Big Data technologies such as Spark, Cassandra or Hadoop.
• Advanced critical thinking and problem solving skills which drives creativity and innovation.
• A…