APPLYDJINN

Data Science jobs and hiring demand in Montreal, QC, Canada

Core and required roles are separated from contextual and optional mentions so the headline does not overstate job intent.

Explore Data Science by location
Montreal, QC, Canada

Select up to five markets; results and hiring evidence update together.

6core + required roles1context + optional mentions0remote-friendly▲ +3 this week

Employer concentration

Autodesk accounts for 5 of 7 mentions (71%). The remaining 2 mentions span other employers.

View without top 1 employer →
Data Science market intelligence visualization

Data and intelligence hiring evidence

Data Science market guide

Data Science demand is best read through vacancy evidence, role context, and the technologies used alongside it. ApplyDjinn separates core and required usage from supporting mentions so candidates can distinguish hands-on ownership from general stack exposure. Current hiring evidence includes Autodesk, Google. Leading observed locations include Canada, Montreal, QC, Canada, QC, Canada.

7 live roles2 hiring companies0% remote-friendly

Vacancy evidence map

Where Data Science carries hiring weight

Each segment represents roles where Data Science was parsed at that evidence tier. This keeps a required production skill separate from contextual stack language.

0 Core6 Required0 Supporting1 Optional
6core + required86% of mentions
3.5roles per company2 employers

Market interpretation

What Data Science demand means in practice

Data Science can represent different work depending on the role family and delivery environment. The live evidence map on this page shows whether employers treat it as a primary capability, a required implementation skill, supporting context, or an optional advantage. Companion demand such as Statistics, AI, Machine Learning, Python helps explain the actual systems and responsibilities behind the keyword.

A credible Data Science application should connect the skill to a concrete system, decision, and result. State what you built, configured, migrated, secured, tested, or operated; name the scale and constraints; and explain the outcome. This gives hiring teams stronger evidence than a standalone skill badge or an undifferentiated list of tools.

Data and AIApplied engineeringPlatform deliveryAnalytics and operations

Reading the market

Signals to look for

  • Read Data Science together with Statistics, AI, Machine Learning, Python; combinations reveal the likely workload and ownership boundary.
  • Core and required mentions deserve more weight than incidental text in a company or product description.
  • Role title, seniority, location, and adjacent skills determine whether prior experience transfers directly or needs a focused ramp-up.

Geographic demand

Top Data Science locations

Canada7Montreal, QC, Canada7QC, Canada7ON, Canada3Toronto, ON, Canada3BC, Canada2Remote2Vancouver, BC, Canada2

Questions candidates ask

Data Science hiring FAQ

What does Data Science demand mean on this page?

It counts fresh vacancies where Data Science was found in title, requirements, responsibilities, or stack evidence. The tier breakdown separates central requirements from supporting and optional mentions.

How should Data Science appear on a CV?

Tie it to a specific project or production responsibility, the surrounding stack, the constraint you handled, and an outcome. Match the depth of the claim to the evidence shown in the target vacancy.

How Data Science appears in job requirements

Inferred from the title and requirement wording in 7 active roles; each role is counted once. Read the methodology.

Posting evidence, not a company-wide stack claim
Main / core
0%(0)
Required
86%(6)
Supporting / context
0%(0)
Nice-to-have
14%(1)

Skills mentioned with Data Science

A shared posting does not always require both skills. Explicit alternatives are counted separately.

Statistics6 together4 both requiredAI5 together4 both requiredMachine Learning4 together3 both requiredPython3 together1 both requiredSQL3 together1 both required1 alternativesAlgorithms2 together2 both required

Role graph

Roles hiring for Data Science

Data & BI Analytics 2Product Management 1Strategy & Consulting 1

Latest roles mentioning Data Science

Business Intelligence Analyst

Nice

Autodesk — Montreal, QC, Canada

Director of Worldwide Marketing Data Strategy and Analytics

Required

Autodesk — AMER - United States - Massachusetts - Boston Area - Offsite; Home; Montreal, QC, Canada; San Francisco, CA, United States; Toronto, ON, Canada; Portland, OR, United States; Remote — United States; Denver, CO, United States

Principal People Insights Partner

Required

Autodesk — AMER - Canada - Ontario - Toronto - University Ave; Montreal, QC, Canada; Vancouver, BC, Canada; Toronto, ON, Canada

Product Management Intern, Stagiaire Gestion de Produit

Required

Autodesk — Montreal, QC, Canada

Student Researcher, PhD, Winter-Summer 2027

Required

Google — Montreal, QC, Canada

Student Researcher, BS/MS, Winter-Summer 2027

Required

Google — Montreal, QC, Canada

View all 7 roles mentioning Data Science →