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Added 7 mins ago
I
Global Head of Cyber Security
Innocap
Toronto, ON · Montreal, QC
- Full-time
As Innocap’s senior cybersecurity leader, the Global Head of Cybersecurity defines and executes the firm’s global cybersecurity strategy and operating model. Reporting to the Chief…
Added 22 mins ago
TT
Senior Integration Platform Engineer - AI Modernization
Tech Talent International
Montreal, QC · Greater Montreal Metropolitan Area
- $130,000 to $140,000 CAD / year
- Full-time
We currently have a role as an Senior Integration Platform Engineer - AI Modernization with our large consulting client, working for a large modernization project for a public sector, crown…
Added 22 mins ago
G
Senior Account Manager
GreenShield
Toronto, ON
- $72,521 to $109,341 CAD / year
- Full-time
Strong computer skills including Microsoft Office software applications.
Added 22 mins ago
W
Manager IT, Enterprise Architecture
WorkSafeBC
Richmond, BC
- Full-time
Have led enterprise architects or senior technology professionals in complex organizations.
Added 22 mins ago
W
Human Resources Manager
WellnessLiving
Vaughan, ON
- Full-time
…their passion into thriving businesses. Our mission-critical software supports thousands of entrepreneurs and millions of clients worldwide on their wellness journeys. We’re a…
Added 22 mins ago
UO
Manager, Digital Futures Institute
University of Calgary
Calgary, AB
- Full-time
Ability to interact with senior leadership and senior administrative staff.
Added 22 mins ago
SI
Estimator
Synectics Inc.
Montreal, QC
- $45,000 to $65,000 CAD / year
- Full-time
…project coordination. The successful candidate will assist senior estimators in preparing accurate and competitive cost estimates while supporting efficient project planning and…
Added 22 mins ago
E
Administrative Assistance, Grid Operations and Transformation
EPCOR
AB · Edmonton, Alberta
- Full-time
…steps to resolve all purchasing and facilities issues (i.e. OT software renewals, building safety issues, FR clothing), and be a general go to expert for resolution of any internal EPCOR…
Added 52 mins ago
EC
Administrative Assistant
EHN Canada
Saskatoon, SK
- $22 to $25 CAD / hour
- Part-time
Added 1 hour ago
SENIOR ACCOUNT MANAGER
Green Shield Canada
Calgary, AB · Vancouver, BC · Toronto, ON · Windsor, ON
Strong computer skills including Microsoft Office software applications.
Added 1 hour ago
M
Senior Android Developer
MapsPeople
Richmond Hill, ON
- Full-time
…To support this journey, we are looking for an experienced Senior Android Developer who is comfortable leading technical initiatives, mentoring developers, and influencing engineering…
Added 1 hour ago
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Product Marketing Manager
MapsPeople
Richmond Hill, ON
- Full-time
Experience marketing application programming interfaces, software development kits, integrations, or developer-facing products.
Added 1 hour ago
Product Analyst
Barracuda Networks Inc.
Ottawa, ON
…follow-up. You will work directly with engineering, supported by a senior product manager who helps you develop sound product…
Added 1 hour ago
Senior Frontend Engineer, Conversions (f/m/x)
HelloFresh
Toronto, ON
At HelloFresh we are moving away from a model where software developers just execute tickets toward one where product engineers are trusted to own customer problems. A Product Engineer…
Added 1 hour ago
Senior Product Marketing Manager, IT and AI Transformation
Asana
Vancouver, BC
Background in ITSM, developer tools, AI and automation platforms, or work management software.
Added 1 hour ago
Principal Architect
Zafin
Toronto, ON
The Principal Architect is a senior technical leadership role responsible for defining and maintaining the architectural standards, integration patterns, and technical governance for AI…
Added 1 hour ago
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Platform Engineer
Experis Canada
Toronto, ON
- Contract
Job Title: Senior Microsoft Power Platform Engineer
Added 1 hour ago
LS
Director of Finance and Operations - Permanent - 19202
LRO Staffing
Cambridge, ON
- Full-time
Prepare and publish timely monthly, quarterly, and annual financial statements, reporting on the company's financial condition to senior leadership and external stakeholders
Added 1 hour ago
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Director, Product Management (Hardware)
PAR Technology
Remote, Canada
- Full-time
- Remote
…solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries.…
Added 1 hour ago
RB
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Evaluate enterprise software packages and AI platforms, recommending solutions to senior management
Added 1 hour ago
EI
User Experience Designer
ExcelGens, Inc.
Montreal, QC
- Contract
…intuitive, engaging, and user-centered experiences for enterprise software applications. The ideal candidate will have strong experience in interaction design, visual design, prototyping,…
Added 1 hour ago
GC
Engineer or Engineer in Training, Mechanical
Glencore Canada
Elkford, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to Senior Engineer, Maintenance, the Engineer / EIT, Mechanical is responsible
Added 1 hour ago
Platform Engineer - AI Engineering
DRW
Montreal, QC
…curve. The unified AI Platform Team builds the centralized software, operations, and governance layers that safely route users to the most cost-effective…
Added 1 hour ago
Enterprise Collections: Operational Lead - Dialer Administrator
Questrade Financial Group
Toronto, ON
Additionally, they will be responsible for ensuring the dialer software is used efficiently to maximize productivity, while maintaining compliance with applicable regulations. This is a…
Added 1 hour ago
R
Lead AI Engineer
RBC
Toronto, ON
- Full-time
Evaluate enterprise software packages and AI platforms, recommending solutions to senior management

EXFO

Scientifique des données sénior

Montreal, QC, Canada
Quebec, QC, Canada

Full-time

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Job details

Job type: Full-time
Experience: Expérience significative (5+ ans) en analyse de données, statistique appliquée et modélisation descriptive/prédictive dans un contexte produit ou opérationnel.
Posting language: English · French
Posted: Oct 26, 2026

Original job description

English section of this bilingual listing.

The Senior Data Scientist extracts value from data through statistical analysis, data exploration, descriptive and predictive modeling, and the definition of reliable metrics to support product, operational, and AI-related decision-making. Beyond analytical execution, this role serves as a technical reference and influential leader within the data practice, elevating analytical standards, mentoring junior analysts, establishing modeling best practices, and helping shape analytical priorities in close partnership with the Data Lead.

Key Responsibilities

Explore, analyze, and interpret product, operational, customer, and network data to identify insights that support business decisions.
Formulate hypotheses, test them using rigorous statistical methods, and distinguish between correlation, probable causation, bias, and interpretation limitations.
Develop analyses, segmentations, and descriptive, diagnostic, or predictive models to explain phenomena, anticipate trends, and prioritize actions.
Define, validate, and document metrics, KPIs, thresholds, cohorts, and calculation methodologies required to measure value and performance.
Assess data readiness, including coverage, quality, freshness, granularity, representativeness, bias, data gaps, and usage limitations.
Establish and continuously improve analytical standards across the data practice, including methodologies, modeling best practices, quality criteria, reusability, and analytical rigor.
Demonstrate influential leadership within the data organization by coaching peers, sharing knowledge, challenging analytical assumptions, and contributing to decisions regarding priorities, risks, and investment efforts.
Support the Applied AI team in defining ground truth datasets, evaluation datasets, performance metrics, and exploratory analyses required for AI models.
Collaborate with Data Ops, Data Governance Specialists, UX, AI Transformation, Product Managers, and Software Developers to frame problems, prioritize analytical initiatives, and convert insights into actionable outcomes.

Qualifications

University degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field (Master's degree is an asset).
Significant experience (5+ years) in data analysis, applied statistics, and descriptive/predictive modeling in a product or operational environment.
Proficiency in analytical languages and tools (Python, R, SQL), common statistical and machine learning libraries, and version control systems such as Git.
Ability to communicate complex analytical findings in a clear and actionable manner to non-technical audiences.
Demonstrated ability to provide influence-based leadership through mentoring, facilitating best practices, aligning contributors, and recommending analytical priorities in a multidisciplinary environment.
Bilingualism in French and English, both spoken and written, as the role requires communication with teams outside Canada.

Assets

Experience working closely with Applied AI and/or MLOps teams on data preparation and preprocessing activities.
Understanding of data governance and data quality principles, including collaboration with Data Governance Specialists.
Experience in the telecommunications, networking, or a similar industrial sector.

EXFO is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Read the full bilingual original

Job Description:

Sommaire du rôle

Le Scientifique des données sénior extrait de la valeur des données par l'analyse statistique, l'exploration, la modélisation descriptive/prédictive et la définition de métriques fiables, afin d'éclairer les décisions produit, opérationnelles et AI. Au-delà de l'exécution analytique, il agit comme référence technique et influenceur de leadership au sein du pôle données : il élève la qualité des pratiques analytiques, encadre et fait grandir les analystes plus juniors, structure les standards de modélisation et contribue à orienter les priorités analytiques en étroite collaboration avec le Data Lead.

Responsabilités principales

Explorer, analyser et interpréter les données produit, opérationnelles, clients ou réseau afin d'identifier les signaux utiles à la décision.
Formuler des hypothèses, les tester avec des méthodes statistiques rigoureuses et distinguer corrélation, causalité probable, biais et limites d'interprétation
Construire des analyses, segmentations, modèles descriptifs, diagnostiques ou prédictifs pour expliquer des phénomènes, anticiper des tendances ou prioriser des actions.
Définir, valider et documenter les métriques, indicateurs, seuils, cohortes et règles de calcul nécessaires au pilotage de la valeur et de la performance.
Qualifier la data readiness : couverture, qualité, fraîcheur, granularité, représentativité, biais, trous de données et limites d'usage.
Établir et faire évoluer les standards analytiques du pôle : méthodes, bonnes pratiques de modélisation, critères de qualité des analyses, réutilisabilité des approches et rigueur d'interprétation.
Exercer un leadership d'influence dans le pôle données : coacher les pairs, partager les apprentissages, challenger les hypothèses analytiques et contribuer aux arbitrages sur les priorités, risques et efforts à investir.
Supporter Applied AI dans la définition de ground truth, jeux d'évaluation, métriques de performance et analyses exploratoires nécessaires aux modèles.
Collaborer avec les Data Ops, Spécialistes en gouvernance de données, UX, IA Transformation, Gestionnaires de produits et Développeurs Logiciels pour cadrer les problèmes, prioriser les initiatives analytiques et transformer les insights en actions.

Profil recherché

Formation universitaire en statistique, mathématiques, informatique, science des données ou domaine quantitatif connexe (maîtrise un atout).
Expérience significative (5+ ans) en analyse de données, statistique appliquée et modélisation descriptive/prédictive dans un contexte produit ou opérationnel.
Maîtrise des langages et outils d'analyse (Python, R, SQL), des bibliothèques de modélisation statistique/ML courantes et des logiciels de versionnement comme Git
Capacité à vulgariser des résultats analytiques complexes en recommandations claires et actionnables pour des audiences non techniques.
Capacité démontrée à exercer un leadership d'influence : mentorat, animation de pratiques, alignement de contributeurs et recommandation de priorités analytiques dans un environnement multidisciplinaire.·
Bilinguisme français-anglais, à l'oral et à l'écrit (la personne aura à communiquer avec des équipes à l'extérieur du Canada).

Atouts

Expérience de collaboration étroite avec des équipes Applied AI ou MLOps sur la préparation et la prétraitement des données.
Connaissance des enjeux de gouvernance et de qualité des données (interaction avec les Spécialistes en gouvernance de données).
Expérience en secteur télécommunications, réseaux ou environnement industriel similaire.

Role Summary

Key Responsibilities

Explore, analyze, and interpret product, operational, customer, and network data to identify insights that support business decisions.
Formulate hypotheses, test them using rigorous statistical methods, and distinguish between correlation, probable causation, bias, and interpretation limitations.
Develop analyses, segmentations, and descriptive, diagnostic, or predictive models to explain phenomena, anticipate trends, and prioritize actions.
Define, validate, and document metrics, KPIs, thresholds, cohorts, and calculation methodologies required to measure value and performance.
Assess data readiness, including coverage, quality, freshness, granularity, representativeness, bias, data gaps, and usage limitations.
Establish and continuously improve analytical standards across the data practice, including methodologies, modeling best practices, quality criteria, reusability, and analytical rigor.
Demonstrate influential leadership within the data organization by coaching peers, sharing knowledge, challenging analytical assumptions, and contributing to decisions regarding priorities, risks, and investment efforts.
Support the Applied AI team in defining ground truth datasets, evaluation datasets, performance metrics, and exploratory analyses required for AI models.
Collaborate with Data Ops, Data Governance Specialists, UX, AI Transformation, Product Managers, and Software Developers to frame problems, prioritize analytical initiatives, and convert insights into actionable outcomes.

Qualifications

University degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field (Master's degree is an asset).
Significant experience (5+ years) in data analysis, applied statistics, and descriptive/predictive modeling in a product or operational environment.
Proficiency in analytical languages and tools (Python, R, SQL), common statistical and machine learning libraries, and version control systems such as Git.
Ability to communicate complex analytical findings in a clear and actionable manner to non-technical audiences.
Demonstrated ability to provide influence-based leadership through mentoring, facilitating best practices, aligning contributors, and recommending analytical priorities in a multidisciplinary environment.
Bilingualism in French and English, both spoken and written, as the role requires communication with teams outside Canada.

Assets

Experience working closely with Applied AI and/or MLOps teams on data preparation and preprocessing activities.
Understanding of data governance and data quality principles, including collaboration with Data Governance Specialists.
Experience in the telecommunications, networking, or a similar industrial sector.

EXFO is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply About employer

More about this job

Responsibilities

The Senior Data Scientist extracts value from data through statistical analysis, modeling, and metric definition to support product and operational decision-making. They also act as a technical leader by mentoring junior analysts, establishing modeling standards, and collaborating with cross-functional teams to drive analytical priorities.

Requirements

Candidates must have a university degree in a quantitative field and at least 5 years of experience in data analysis and statistical modeling. Proficiency in Python, R, and SQL is required, along with strong leadership skills and bilingual proficiency in French and English.

Skills

Statistical Analysis
Predictive Modeling
Descriptive Modeling
Python
R
SQL
Machine Learning
Data Visualization
Data Governance
Mentoring
Leadership
Communication
Git
Applied Statistics
Data Readiness

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Statistical Analysis
Predictive Modeling
Descriptive Modeling
Python
R
SQL
Machine Learning
Git
Data Governance
Data Quality
Applied AI
MLOps
Telecommunications
KPIs
Data Readiness
Mentorship
Cross-functional Collaboration
Product Analytics
Operational Analytics
Segmentation
Data Interpretation
Version Control
Statistical Methods
Business Intelligence

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