Longueuil, Qc Data scientist Jobs – 127 Openings This Week

Data Analyst
Lasso Informatics Inc Lasso Informatique Inc —Montréal, QC
- $68,000–$98,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Data analysis skills
Quick apply
14d
Intern, Data Science (Fall 2026)
Bombardier —Dorval, QC
- Azure
- Computer Science
- DevOps
Scientifique Principale des Données-Ingénieur , Staff Data Scientist- Eng
UKG (Ultimate Kronos Group) —Montréal, QC
- $124,200–$167,650 a year
- Hybrid work
- Doctoral degree
- English
- Master's degree
Data Scientist, Quantitative Prospective Analysis
Desjardins —Montréal, QC
- Full-time
- Hybrid work
- English
- SQL
- Bachelor's
2d
Forward Deployed AI Scientist, Canada - BCG X
Boston Consulting Group —Montréal, QC
- Full-time
- DevOps
- English
- Project management
- Disability insurance
- Dental care
AI / ML Engineer
US Mobile —Montréal, QC
- $500 a week
- Full-time
- AWS
- Presentation skills
- Machine learning
- Flexible schedule
Senior Data Scientist
TouchTunes —Montréal, QC
- 8 hour shift
- SQL
- Machine learning
- Communication skills
- Flexible schedule
Senior Data Scientist
Artefact —Montréal, QC
- Bilingual
- Azure
- Doctoral degree
Scientifique des données III; Data Scientist III-Eng
UKG (Ultimate Kronos Group) —Montréal, QC
- $110,400–$149,000 a year
- Hybrid work
- Azure
- Doctoral degree
- English
Data Scientist
National Bank of Canada —Montréal, QC
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Bilingual
- English
- Wellness program
- Employee assistance program
Senior Data Scientist
National Bank of Canada —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- English
- Master's degree
- Wellness program
- Employee assistance program
10d
Senior R&D Data Scientist
Triton Digital Canada Inc. —Montréal, QC
- Full-time
- Computer Science
- Master's degree
- Bachelor's
- Employee assistance program
Senior Data Scientist - Canada
Artefact —Montréal, QC
- Azure
- Engineering
- Master's degree
Lead Data Scientist 4C
GENPACT CANADA SERVICES COMPANY —Montréal, QC
- $52,000–$95,000 a year
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Quick apply
6d
Labs Data Science Full Stack Developer (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Bilingual
- English
Applied Scientist II
Microsoft —Montréal, QC
- $85,800–$169,300 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Scientifique en IA/ML appliquée (Systèmes ML et LLM) / Applied AI/ML Scientist (ML & LLM Systems)
Explorance —Montréal, QC
- Full-time
- English
- Analysis skills
- Machine learning
Quick apply
Scientifique principal·e, Données // Senior Data Scientist
SSENSE —Montréal, QC
- Hybrid work
- Bilingual
- English
- SQL
- Dental care
- Employee assistance program
Quick apply
Architecte IA | AI Architect
Pratt & Whitney —Longueuil, QC
- Full-time
- Azure
- Computer Science
- Engineering
- Wellness program
ML Engineer, II - App Engine
Torc Robotics —Montréal, QC
- $153,200–$183,800 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Dental care
- Vision care

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data scientist jobs near longueuil, qc

Data Analyst

Lasso Informatics Inc Lasso Informatique Inc
Montréal, QC

Quick apply

Job details

Full-time
$68,000–$98,000 a year
14 days ago

Qualifications

MATLAB
Doctoral degree
PyTorch
Full-stack development
Engineering
R
Data analysis skills
Docker
Psychology
SciPy
GitHub
Linux
Data visualization
AI
Communication skills
Python
Analytics

Full job description

About Lasso Informatics

Lasso Informatics is a SaaS start-up with a live research data management and analysis platform that brings together multi-modal (imaging, genetics, behavioral, and biosample) data for large-scale studies. Thousands of researchers across the globe rely on our platform today, and we are rapidly iterating and improving to push the boundaries of what is possible in research data management.

We live to innovate, and empower scientists to focus on the science, not the technology, leading to a faster time to science and cure.

Our team is incredibly diverse both by background and expertise, and that is not by accident. We believe that the most creative and powerful solutions come from different ways of thinking about the world. You will be working in an inspiring ecosystem alongside world-renowned professionals in medicine, physics, engineering, imaging, epidemiology, software development, and genetics. We thrive on empowering our colleagues to be thought leaders and innovate fresh new solutions for an exciting and rapidly changing field

About the Role

We are seeking a skilled Data Analyst/Scientist to join our growing team full-time. This remote-friendly role sits at the intersection of rigorous statistical science and modern data tooling. You'll work closely with a multidisciplinary research team to derive meaningful insights from complex datasets, design and evaluate analytical approaches, and communicate findings clearly to scientific and non-technical audiences.

Key Responsibilities;

Design, configure, and maintain dashboards for domain specific workgroups.
Conduct statistical analyses using R, Python, and other programs, applying biostatistical methods appropriate to study design - including mixed-effects models and longitudinal data techniques.
Apply AI and machine learning tools to support pattern detection, predictive modeling, and data quality assessment across multi-modal datasets.
Evaluate and contribute to experimental and study design decisions, ensuring analytical validity and appropriate handling of confounds, covariates, and sample considerations.
Organize and manage datasets and data dictionaries, perform QC checks and conduct preliminary analyses to maintain high data integrity.
Collaborate cross-functionally to define data requirements, resolve quality issues, and support reproducible research workflows.
Produce clear technical documentation of analytical methods, pipelines, and findings for both scientific and internal audiences.
Maintain project tracking and contribute to a culture of rigorous, reproducible science.

Qualifications

Required

PhD in Neuroscience, Psychology, Epidemiology, Engineering, Statistics, Computer Science, or an equivalent combination of education and experience.
5+ years of full time experience in data analysis and data science fundamentals - algorithms, data structures, data visualization, and machine learning - preferably in a clinical or research setting.
5+ years of full time experience in scientific programming language such as Python, R, or Matlab, with hands-on familiarity with related frameworks and libraries (e.g., Tidyverse, Scipy, Sklearn, PyTorch, Polars).
Advanced proficiency in biostatistics, including methods suited to observational (cross-sectional and longitudinal) and experimental research designs.
Demonstrated experience applying experimental design principles: power analysis, randomization, control conditions, and bias mitigation.
Demonstrated experience leveraging AI/ML tools in an analytical or research context.
1+ year of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker).
Proficiency in creation of visualizations of complex longitudinal data sets
3+ years experience working with data privacy regulations (HIPAA, GDPR) and research ethics standards.

Preferred

Background in neuroscience, genomics, clinical research, or a related life sciences discipline.
Experience with large-scale, multi-modal research datasets spanning imaging, behavioral, genetic, or biosample data.
Familiarity with reproducible research practices including R Markdown, Quarto, or equivalent notebook-based workflows.

Skills and Attributes

Analytical rigor combined with scientific curiosity
Self-directed and comfortable working autonomously in a distributed remote environment, managing multiple priorities and deadlines effectively.
Strong technical writing skills with a demonstrated ability to document methods and communicate findings with precision.
Excellent verbal communication skills; able to translate complex statistical findings for non-technical stakeholders.
Solid understanding of data privacy obligations and a commitment to responsible data stewardship.
High attention to detail and a genuine commitment to data integrity and reproducibility.
Collaborative by nature, with strong interpersonal skills and comfort contributing to open, multidisciplinary team environments.

Benefits

Flexible hybrid/remote position.
Competitive full-time compensation and benefits package.
Meaningful contribution to research with real-world scientific and clinical impact.
Hands-on experience across the full analytics stack - from experimental design through insight delivery.
Opportunity to grow with an innovative, mission-driven company at the forefront of research data management.
Collaborative environment within a diverse, multidisciplinary team of researchers and data professionals.

Quick apply

Refine Your Search

data scientist jobs in longueuil, qc

Data Analyst

Intern, Data Science (Fall 2026)

Scientifique Principale des Données-Ingénieur , Staff Data Scientist- Eng

Data Scientist, Quantitative Prospective Analysis

Forward Deployed AI Scientist, Canada - BCG X

AI / ML Engineer

Senior Data Scientist

Senior Data Scientist

Scientifique des données III; Data Scientist III-Eng

Data Scientist

Senior Data Scientist

Senior R&D Data Scientist

Senior Data Scientist - Canada

Lead Data Scientist 4C

Labs Data Science Full Stack Developer (Hybrid)

Applied Scientist II

Scientifique en IA/ML appliquée (Systèmes ML et LLM) / Applied AI/ML Scientist (ML & LLM Systems)

Scientifique principal·e, Données // Senior Data Scientist

Architecte IA | AI Architect

ML Engineer, II - App Engine

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