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Senior Advisor, Real Estate Data Modeling

STATUS: Permanent

JOB POSTING NUMBER: 2934

POSTING PERIOD: From March 5 to March 27, 2026

SALARY: Class 11 – from $95,439.65 to $125,540.32 / year

SCHEDULE: 33.75 hours per week, DAY; MONDAY to FRIDAY - 08:30 to 16:30

WORK MODE: Hybrid

WORK LOCATION: Assessment Administration, 1333 BOUL CHOMEDEY Laval H7V 3Y1

The challenges that await you

Reporting to the division head, you are primarily responsible for developing predictive statistical models that serve as the basis for the preparation and maintenance of the property assessment roll.

To this end, you leverage your extensive and in-depth knowledge of the field of data science as well as your mastery of relevant tools to implement predictive models to establish the actual value of properties or to understand any phenomenon or trend related to the activities of the Property Assessment Service.

More specifically:

  • You develop, implement, and maintain robust and reliable statistical models that systematically establish the actual value of properties of all types as of a reference date;
  • You develop and implement analytical and business intelligence solutions, using artificial intelligence and spatial inference to fully utilize the information collected and recorded by the Property Assessment Service;
  • You collaborate with assessors to analyze complex issues in property assessment. Use innovative concepts to resolve them.
  • You coordinate the implementation of statistical models in the mass assessment system. You perform statistical reliability checks and ensure their explanatory performance.
The ideal profile for us
  • Master's degree in statistics, business intelligence, computer science, or another related discipline focused on quantitative methods or data science, or any other relevant degree for the position;
  • Minimum of four (4) years of relevant experience in a quantitative field such as statistics, mathematics, economics, finance, and real estate focused on data science, predictive model development, and machine learning;
  • Experience in database management, data manipulation with SQL, advanced Excel;
  • Proficiency in programming languages such as Python (Spark), R, or Julia;;
  • Excellence in communicating and popularizing results and the methodology used;
  • Aptitude for collaborating with subject matter experts to enhance their experience and the results obtained;
  • Being aware of best practices;
  • Very good knowledge of Microsoft 365 tools;
  • Knowledge of municipal assessment (asset);
  • Certified appraiser title (asset).
Skills
  • Analytical ability
  • Collaboration
  • Initiative/autonomy
  • Client orientation
  • Results orientation
  • Openness to diversity
The benefits of being part of our team

Choosing the City of Laval means working for the third largest city in Quebec on diverse and stimulating mandates. It also means having the opportunity to grow within a human, committed team that enjoys working in a pleasant environment.

For this position, we offer competitive working conditions and benefits:

  • 3 weeks of annual vacation (pro-rated for the months worked in the first year);
  • 16.5 public holidays per year including several days off during the holiday season;
  • 3 weeks of paid sick days at the beginning of the year;
  • Comprehensive group insurance package;
  • Defined benefit pension plan;
  • Work schedule allowing for work-life balance;
  • Work location easily accessible with free parking;
  • Employee Assistance Program (EAP);
  • Possibility of accumulating overtime;
  • Reimbursement of professional membership fees;
  • Priority access to a CPE daycare.


Only candidates meeting the requirements will be contacted.


The City of Laval is committed to promoting an inclusive and equitable work environment as part of its employment equity program. It recognizes and values diversity in all its forms and invites women, visible and ethnic minorities, Indigenous peoples, and persons with disabilities to submit their applications.

If you require special accommodations to participate in the selection process, please let us know as soon as you receive your invitation.

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