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Open nowPosted 3 hours agoWe saw it 14 min after it went up

Senior Data Scientist

Adoc Talent Management23 open roles

Where
Montreal, Quebec, Canada, Remote
Work mode
Remote
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Your applicationOpen nowSenior Data ScientistAdoc Talent Management · Montreal, Quebec, Canada, Remote

  1. YouYes, apply to this one.

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Adoc Talent Management postings stay open a median of 11 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 3 hours ago

Adoc Talent Management median: 11 days open

The posting

****ENGLISH VERSION FOLLOWS****

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Nous recrutons, pour une grande firme internationale de conseil en économie, un(e) Scientifique de données senior(e). Fort d'une présence mondiale et d'un vaste réseau d'experts issus du monde universitaire, gouvernemental et de l'industrie, le cabinet intervient stratégiquement dans les domaines de l'économie, de la finance, de la stratégie et de l'analyse des données de santé auprès de grandes entreprises et d'institutions prestigieuses.

En tant que Scientifique des Données Senior (Senior Data Scientist), vous jouerez un rôle clé dans la conception, le déploiement et la maintenance de solutions technologiques innovantes pour répondre à des problématiques majeures dans de multiples secteurs. Vous agirez comme un moteur d'innovation, assurant une veille technologique constante, notamment sur l'intelligence artificielle (IA) générative, afin d'identifier et d'intégrer des outils, des applications et des sources de données de pointe pour optimiser l'offre de services du cabinet.

Missions

  • Mener des analyses statistiques et mathématiques poussées pour résoudre des problématiques de recherche complexes et en extraire des recommandations stratégiques
  • Concevoir, valider et déployer des architectures de bout en bout (full stack) en ingénierie des données, apprentissage automatique et IA
  • Exploiter l'IA générative et le traitement du langage naturel (NLP) pour valoriser des données non structurées (dossiers médicaux, réseaux sociaux, etc.)
  • Optimiser l'infrastructure, la gestion et l'accès aux bases de données massives (transactions financières, réclamations)
  • Développer des interfaces analytiques interactives et des outils de visualisation (R/Shiny, Python/Flask, D3)
  • Programmer des solutions logicielles en R, Python, et optimiser les tâches à forte intensité de calcul (C, C++, CUDA) via des environnements cloud ou de calcul haute performance (HPC)
  • Accompagner les équipes de projet, offrir des formations techniques et enrichir l'expertise interne en science des données.

Profil

  • Doctorat (PhD) dans un domaine quantitatif (informatique, mathématiques, statistiques, économie, ou discipline scientifique pertinente)
  • Solide expérience dans la manipulation de données structurées et non structurées, couplée à une excellente capacité à mener des recherches complexes de manière autonome
  • Maîtrise avancée de Python ou R exigée, validée par des projets concrets
  • Expertise pointue des concepts d'IA générative (RAG, plongements vectoriels, appel d'outils, gestion de contexte) et expérience pratique dans la conception ou le déploiement d'agents IA
  • Compréhension approfondie des risques, des limites et de l'éthique liés au déploiement de solutions d'IA générative
  • Familiarité avec les infrastructures cloud (AWS, Azure) et les environnements HPC
  • Des compétences sous environnement Linux, avec Docker, ainsi qu'en développement front-end (Vue.js, Angular) constituent un réel atout
  • Maîtrise de l'anglais indispensable en raison des interactions quotidiennes avec des équipes et clients internationaux. Un permis de travail valide est requis.

________________________________________________________________

We are recruiting a Senior Data Scientist for a leading international economic consulting firm. With a global presence and an extensive network of experts from academia, government, and industry, the firm provides strategic consulting in the fields of economics, finance, strategy, and health data analysis to major corporations and prestigious institutions.

As a Senior Data Scientist, you will play a key role in designing, deploying, and maintaining innovative technological solutions to address major challenges across multiple sectors. You will serve as a driving force for innovation, constantly monitoring technological developments—particularly in generative artificial intelligence (AI)—to identify and integrate cutting-edge tools, applications, and data sources to optimize the firm’s service offerings.

Missions

  • Perform advanced mathematical and statistical modeling to translate complex research questions into actionable strategic insights for clients
  • Architect, validate, and launch full-stack machine learning, data engineering, and AI production systems
  • Apply natural language processing (NLP) and generative AI to extract value from complex, unstructured datasets like electronic health records and social media
  • Streamline the architecture and querying procedures for massive databases (e.g., financial data, insurance claims)
  • Build intuitive interactive analytics portals and robust data visualizations (utilizing Python/Flask, R/Shiny, or D3)
  • Develop software packages in Python and R, and optimize computationally intensive workflows (C, C++, CUDA) using cloud and grid computing
  • Serve as a technical mentor, participate directly in client engagements, and help scale the firm’s internal data science knowledge base.

Profile

  • PhD in a highly quantitative discipline (Computer Science, Statistics, Mathematics, Economics, or a related scientific field)
  • Demonstrated capability to independently tackle complex analytical problems and extract meaningful insights using advanced mathematical frameworks
  • Expert proficiency in Python and/or R is mandatory, supported by a strong portfolio of applied project experience
  • Deep technical understanding of generative AI mechanics (embeddings, RAG, prompt engineering, tool calling, structured generation) with hands-on experience prototyping or deploying AI agents
  • Keen awareness of the ethical considerations, risks, and responsible-use best practices regarding generative AI applications
  • Experience with cloud platforms (Azure, AWS) and working within High-Performance Computing (HPC) environments
  • Familiarity with Linux, Docker, and JavaScript front-end frameworks (Angular, Vue.js) is highly advantageous
  • Exceptional interpersonal and communication skills, with a proven track record of collaborative teamwork
  • Fluency in English is strictly required due to continuous interactions with international clients and stakeholders. Candidates must possess valid work authorization.
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