Bilingual Data Scientist - Montréal, Canada - CMHC

CMHC

Verified Company

Montréal, Canada

1 week ago

Posted by:

Sophia Lee

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Description

Job Requisition ID: 10008

Position Status:
Permanent Full Time

Position Type:
Hybrid

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

Travel Requirement:
Travel not required

Language Designation:
Bilingual

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

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

About CMHC

At CMHC, the work you do and the work we do together matters.

We come to work every day with a common purpose:

to realize a future where everyone in Canada has a home that they can afford and meets their needs.

Our people are second to none.

We lean in with courage, band together as a community and try new things to make a lasting impact on housing from coast to coast to coast.

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 what you get when you're a permanent employee:

5 weeks of vacation.
Annual individual performance bonus.
Defined benefit pension plan.
Comprehensive group insurance plan to support your wellbeing from day one.
Support in your personal and professional growth with training, mentorship and more because when you thrive, we thrive.
An inclusive workplace culture and environment with Employee Resource Groups and more.
A hybrid work model that lets you balance working from home and nurturing inperson connections by coming into your region's office at a minimum of 4 times a month.

About the role

What you'll do:

Conduct data analysis and applies the appropriate algorithm to discover patterns.
Develop and introduce new approaches to solving analytics problems.
Research and experiment with various available technologies and tools while making recommendation on new methodologies, techniques or improvements leading to mature the analytical capability of CMHC.
Work with the Senior Manager and teammates to support the maturity of the analytics capability by introducing analytics approaches (e.g. testing hypothesis, statistical validation, etc.).
Support knowledge transfer sessions as well as the development of best practices.
Assess large volumes of data and works towards integrating and preparing large and varied datasets for architecting the data.
Responsible for modeling analytics problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, and mining techniques.

What you should have:

A bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Physics or any other related quantitative field.
A minimum of 3 years of work experience as a Data Scientist or similar position including a demonstrated proficiency integrating and preparing large, varied datasets and communicating results.
Solid programming skills in opensource programming language (e.g. Python) or a statistical software package (e.g. R).
Proficiency in conducting statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing and optimizing algorithms.
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).
Bilingualism (English and French).

It would be great if you also had:

Knowledge of the Insurance or Mortgage industry.

Posting closing date:
Note, the competition will remain active until filled.

Our commitment to diversity, equity, and inclusion

CMHC is an inclusive workplace where diversity of thought - and of people - are recognized, valued, and considered essential to achieving our mission.

Learn more about our commitment to diversity and inclusion
What happens after you apply

If you applied before and you were not successful don't worry - we're always posting new positions, so don't hesitate to give it another shot.

We're excited to see what you bring to the table this time around