Montréal, Qc Staff scientist Jobs – 23 Openings This Week

Staff Data Scientist
Scientific Games —Montréal, QC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
4d
Staff Data Scientist, AI Evaluations Platform
Royal Bank of Canada —Montréal, QC
- Full-time
- SQL
- Machine learning
- Financial services
7d
Intermediate-Senior Geochemist - Ottawa/Toronto/Sudbury/Montreal
BluMetric Environmental Inc. —Montréal, QC
- $77,000–$115,000 a year
- Full-time
- Hybrid work
- Bilingual
- Engineering
- Laboratory experience
Quick apply
14d
Applied Scientist, RF Sensing and Counter-Drone Technologies
National Research Council Canada —Montréal, QC
- $83,985–$168,192 a year
- Hybrid work
- Doctoral degree
- Engineering
- Data analysis skills
- Disability insurance
- Relocation assistance
Clinical Research Manager
Centre universitaire de santé McGill - Institut de Recherche —Montréal, QC
- $71,598.80–$132,969.20 a year
- Temporary
- Bilingual
- Doctoral degree
- English
- Designated paid holidays
- Employee assistance program
Quick apply
Staff Data Developer
AlayaCare —Montréal, QC
- Hybrid work
- Bilingual
- Computer Science
- DevOps
Quick apply
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
Senior Data Scientist
Scientific Games —Montréal, QC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
7d
Space Software Engineer/Developer
GlobVision Inc. —Montréal, QC
- Full-time
- Computer science
- Doctoral degree
- Engineering
- Disability insurance
- Dental care
Quick apply
12d
Staff AI Developer / Architecte IA
EXFO —Montréal, QC
- Full-time
- Hybrid work
- Team management
- AI
- Python
Avionics Integrator Engineer (Hybrid: Montreal, Quebec)
Capgemini —Montréal, QC
- $62,874–$165,758 a year
- Engineering
- Bachelor's
- Disability insurance
- Dental care
Avionics Integrator Engineer (Hybrid: Montreal, Quebec)
Capgemini Sogeti —Montréal, QC
- $62,874–$165,758 a year
- Engineering
- Bachelor's
- Disability insurance
- Dental care
12d
Senior Machine Learning Engineer
Scientific Games —Montréal, QC
- Full-time
- Computer Science
- Engineering
- Master's degree
4d
Staff Machine Learning Engineer
Scientific Games —Montréal, QC
- Full-time
- Azure
- Computer Science
- Engineering
4d
AI Project Manager
BNP Paribas —Montréal, QC
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Computer science
14d
Senior / Staff Cloud Infrastructure Engineer
Lasso Informatics Inc Lasso Informatique Inc —Montréal, QC
- $80,000–$130,000 a year
- Full-time
- AWS
- No university degree
- Scripting
Quick apply
Testeur(euse) de Systèmes Intégrés / Integrated Systems Tester
OPAL-RT —Montréal, QC
- Engineering
- Laboratory experience
- English
- Flexible schedule
Quick apply
Technicien en instrument / Instrument Technician
Sygnature Discovery —Montréal, QC
- Full-time
- Bilingual
- English
- Master's degree
- Disability insurance
- Dental care
Quick apply
Assistant or Associate Professor (Clinical), Department of Pediatrics, Division of General Pediatrics (C3-260424)
McGill University —Montréal, QC
- Full-time
- Bilingual
- Medicine
- Doctoral degree
Senior Professional, Geochemistry
WSP —Montréal, QC
- $94,100–$138,000 a year
- Bachelor's
- Communication skills

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Staff Data Scientist

Scientific Games -
Montréal, QC

Apply Now

Job details

Full-time
4 days ago

Qualifications

TensorFlow
Pricing
Statistics
Doctoral degree
Computer Science
PyTorch
Engineering
Mathematics
Master's degree
SQL
Pandas
Machine learning
APIs
Python
Data Science

Full job description

Scientific Games:

Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.

Position Summary

About the Role

We are looking for a founding Staff Data Scientist to help build the decision science function from the ground up and translate our long-term product and decisioning vision into scalable production systems. This is not a maintenance role. As an early senior technical leader, you will work closely with the Principal

Data Scientist, Staff peers, and Senior Data Scientists to define the modeling standards, decision science patterns, and execution playbooks that will become the backbone of the organization.

This role sits at the intersection of technical depth, platform leverage, and strategic execution. Despite being part of a large organization, the team operates with a startup mindset: fast-paced, highly iterative, and biased toward rapid execution, learning, and measurable business impact. You will own some of the organization’s highest-value problems across forecasting, experimentation, personalization, recommendation systems, portfolio optimization, pricing, and player decision systems.

Qualifications

About the Role

Data Scientist, Staff peers, and Senior Data Scientists to define the modeling standards, decision science patterns, and execution playbooks that will become the backbone of the organization.

This role is based out of Toronto.

Key Responsibilities

Lead the design and delivery of high-impact decision science systems across forecasting, constrained optimization, experimentation, and batch and real-time recommendation systems
Translate ambiguous business opportunities into structured modeling roadmaps, milestones, and measurable KPI frameworks
Partner with the Principal Data Scientist to establish modeling standards, experimentation guardrails, validation frameworks, and deployment playbooks for the founding DS organization
Build production-grade decision engines spanning player personalization, next-best-action systems, pricing, portfolio optimization, and retail recommendation use cases
Drive the design of multi-stage recommendation and ranking architectures, including retrieval, pre-ranking, ranking, and re-ranking
Mentor Senior and mid-level Data Scientists while raising technical rigor across statistical thinking,causal inference, optimization, and experimentation
Shape the evolution of reusable DS workflows that integrate cleanly with the self-service ML platform being built by the founding MLE team

Required Qualifications

Education

Master’s degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field

Experience

6+ years post-Master’s experience or 4+ years post-PhD experience in data science, decision science, econometrics, or applied machine learning
Proven experience leading ambiguous, high-impact data science initiatives from framing through production business impact
Strong experience in at least three of: forecasting, optimization, experimentation, recommendation systems, pricing, portfolio science, or causal inference
Experience mentoring Data Scientists and shaping technical standards beyond individual project delivery

Technical Skills

Strong Python proficiency across pandas, scikit-learn, PyTorch, and TensorFlow
Deep expertise in statistical modeling, experimentation, causal inference, and optimization
Strong SQL and large-scale data experience
Hands-on experience building batch and real-time recommendation or decision systems
Familiarity with multi-stage cascading ranking architectures and decision APIs

Leadership

Ability to translate long-term product vision into executable decision science roadmaps
Strong technical mentorship and review discipline
Ability to influence DS standards, experimentation culture, and KPI rigor across the founding team

Preferred Qualifications

Experience as a founding or early senior hire in a new DS organization
Hands-on portfolio optimization, payout optimization, assortment optimization, or mathematical programming
Experience with personalization, gaming, retail, marketplace, or digital consumer decision systems
Experience working with self-service experimentation and ML platforms
Familiarity with Databricks, PySpark, MLflow, and cloud-native deployment workflows
Strong product intuition for balancing revenue, margin, player engagement, and responsible gaming constraints

SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster .

Apply Now

Refine Your Search

staff scientist jobs in montréal, qc

Staff Data Scientist

Staff Data Scientist, AI Evaluations Platform

Intermediate-Senior Geochemist - Ottawa/Toronto/Sudbury/Montreal

Applied Scientist, RF Sensing and Counter-Drone Technologies

Clinical Research Manager

Staff Data Developer

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

Senior Data Scientist

Space Software Engineer/Developer

Staff AI Developer / Architecte IA

Avionics Integrator Engineer (Hybrid: Montreal, Quebec)

Avionics Integrator Engineer (Hybrid: Montreal, Quebec)

Senior Machine Learning Engineer

Staff Machine Learning Engineer

AI Project Manager

Senior / Staff Cloud Infrastructure Engineer

Testeur(euse) de Systèmes Intégrés / Integrated Systems Tester

Technicien en instrument / Instrument Technician

Assistant or Associate Professor (Clinical), Department of Pediatrics, Division of General Pediatrics (C3-260424)

Senior Professional, Geochemistry

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