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Added 12 mins ago
J
Senior Analyst, Supply and Demand Planning
Jobgether
Canada
- $79,958 to $104,944.35 CAD / year
- Full-time
As a Senior Analyst, Supply and Demand Planning, you will play a key role in aligning consumer demand forecasts with business priorities and supply chain operations. You will manage a…
Added 42 mins ago
Manager, Product Analytics
Rogers Communications
Toronto, ON
The Manager, Product Analytics is a senior analytics professional within the Business Intelligence organization, dedicated to supporting the Product Management team and its stakeholders…
Added 1 hour ago
TR
Senior Director, GTM AI Product Leader
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…worth solving, prioritize ruthlessly, and measure adoption and business impact. You will be the accountable leader for how AI shows up in the way we sell, onboard, deliver, retain, and grow…
Added 1 hour ago
BC
Quality and Patient Safety Consultant
Brant Community Healthcare System
Brantford, ON
- Full-time
Through demonstrated proficiency in quality improvement and business methodologies, education, innovation, and role modeling, the consultant will assist programs to:
Added 1 hour ago
Software Engineer I
Planview Incorporated
Vancouver, BC
Planview has one mission: to close the gap between strategic intent and business outcome, providing the intelligence organizations need to act decisively.
Added 1 hour ago
S
Stagiaire, Marketing - Nouveaux lancements | Intern, Marketing - New launches
Sandoz
Longueuil, QC · Saint-Hubert (Sandoz)
- Full-time
…Canada-specific needs through forecasting, market analysis, business cases, launch scenarios and improved activity…
Added 2 hours ago
C
Sr. Manager, Email and Distributed Marketing
CIBC
Toronto, ON
- Full-time
…the execution, governance, and optimization of advisor and business-driven email communications across both Salesforce Marketing Cloud and traditional email channels, including Outlook…
Added 2 hours ago
LI
Technology Architect
Lotus IT Solutions
Toronto, ON
- Contract
Demonstrated experience with large-scale (20TB+) Business Intelligence application architecture
Added 3 hours ago
A
Lead AI Security Developer
ATB
Calgary, AB · Edmonton, AB
- Full-time
As ATB’s next AI Security Developer, you'll help us build and operate the security capabilities needed to protect ATB's growing use of artificial intelligence. You'll develop and integrate…
Added 3 hours ago
M
Senior Analytics Engineer - GTM
Motive
Vancouver, BC
- Full-time
As Senior Analytics Engineer - GTM, you’ll play a key role in helping our GTM team grow our business. You’ll report to the Director of Business Intelligence joining a centralized global…
Added 3 hours ago
J
Lead Product Manager, Technical
Jobgether
Canada
- Full-time
…product vision, establish roadmaps, and align engineering and business stakeholders around priorities that drive long-term impact. Working at the intersection of product strategy, data,…
Added 3 hours ago
A
Business Analytics Specialist, Temporary
Aviso
Vancouver, BC
- Temporary
We're looking to fill an opening for a Business Analytics Specialist to join our Data Science and AI Enablement team for 12 months.
Added 3 hours ago
SI
Data Analyst
Spait Infotech
Canada
- Full-time
Familiarity with business intelligence and reporting processes.
Added 3 hours ago
J
Revenue Operations Lead
Jobgether
Canada
- Full-time
Relevant experience: At least 5 years of experience in Revenue Operations, Sales Operations, or Business Operations within a high-growth B2B organization. Experience with usage-based,…
Added 3 hours ago
TC
Tech Ops Analyst II - Inventory & Asset Management
TJX Canada – Winners, Marshalls, HomeSense
Mississauga, ON
- $67,740 to $94,836 CAD / year
- Full-time
…performance, and financial planning that directly contributes to business success across a multi-location environment. You’ll gain exposure to a broad range of technology initiatives while…
Added 4 hours ago
T
Data & AI Alliance Executive
Toast
Toronto, ON
- $130,000 to $165,000 USD / year
- Full-time
…Canada. The firm’s advisory practice is growing its Data & AI business and helping Canada’s largest enterprises put modern data platforms and AI to work. As the Data & AI Alliance…
Added 4 hours ago
NN
Consumer & Market Intelligence Manager
Nestlé Nespresso SA
Montreal, QC
- Full-time
10+ years of experience in strategic insights, marketing analytics, business intelligence or consumer and market research.
Added 4 hours ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Applying data and analytics to business use cases
Added 4 hours ago
TC
Tech Ops Analyst II - Telecom Expense Management
TJX Canada – Winners, Marshalls, HomeSense
Mississauga, ON
- $67,740 to $94,836 CAD / year
- Full-time
…In this highly visible role, you’ll partner with vendors and business stakeholders to ensure telecom expenses are accurately managed, services are effectively governed, and strategic…
Added 4 hours ago
AC
Claims Analyst - Reinsurance
Aviva Canada
Markham, ON
- Full-time
…administration. This position offers exposure to multiple lines of business and the opportunity to contribute to program governance, financial oversight, quality assurance, and continuous…
Added 4 hours ago
AC
Claims Analyst - Reinsurance
Aviva Canada
Oakville, ON
- Full-time
…administration. This position offers exposure to multiple lines of business and the opportunity to contribute to program governance, financial oversight, quality assurance, and continuous…
Added 4 hours ago
N
Director of AI Delivery
nesto
Montreal, QC
- Full-time
Hybrid, based in our Toronto or Montreal office. In-office expectations vary with business needs. If you are based in Montreal, expect to travel to Toronto a couple of times per month.
Added 4 hours ago
K
Senior Consultant - IT Risk Services
KPMG
ON · Toronto, Ontario
- Full-time
…challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where…
Added 5 hours ago
N
Co-Op, IT, Digital Delivery
Nutrien
Saskatoon, SK
- Internship
Nutrien is a leading provider of crop inputs and services, and our business results make a positive impact on the world. Our purpose, Feeding the Future, is the reason we come to work each…
Added 5 hours ago
N
Co-Op, IT, Digital Delivery
Nutrien
Saskatoon, SK
- Internship
Nutrien is a leading provider of crop inputs and services, and our business results make a positive impact on the world. Our purpose, Feeding the Future, is the reason we come to work each…

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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