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Open nowPosted 10 days ago

Scientifique des données sénior

exfo77 open roles

Where
Quebec City QC Canada
Work mode
Hybrid
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Your applicationOpen nowScientifique des données séniorexfo · Quebec City QC Canada

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. exfo postings stay open a median of 14 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 10 days ago

exfo median: 14 days open

The posting

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

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.

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