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Adoc Talent Management

Senior Data Scientist

Adoc Talent Management

. Perform advanced mathematical and statistical modeling to translate complex research questions into actionable strategic insights for clients .

Posted 11/4/2026full-timeMontreal • CanadaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in advanced mathematical modeling, machine learning, and data engineering, with a strong focus on generative AI and natural language processing. Proficient in developing and optimizing data-driven solutions while ensuring ethical considerations in AI applications.

Highest-signal resume keywords
PhD In Quantitative DisciplineExpert Proficiency In PythonDeep Technical Understanding Of Generative AIExperience With Cloud PlatformsStrong Interpersonal And Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Mathematical ModelingStatistical AnalysisMachine LearningNatural Language ProcessingData EngineeringSoftware Development In PythonSoftware Development In RData VisualizationComputational OptimizationWorking With Structured And Unstructured Data
Soft Skills
Exceptional Interpersonal SkillsCollaborative TeamworkEffective Communication
Tools & Technologies
Cloud ComputingHigh-Performance ComputingLinuxDockerAzureAWSJavaScriptAngularVue.jsD3
Industry Keywords
Generative AIEthical AI ConsiderationsData ScienceFinancial DataInsurance ClaimsElectronic Health RecordsAI Production SystemsInteractive Analytics PortalsData Querying ProceduresClient Engagements

Tech Stack

Tools & technologies
AngularAWSAzureCloudD3.jsDockerFlaskJavaScriptLinuxPythonVue.jsC++

About the role

Key responsibilities & impact
  • 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 such as electronic health records and social media
  • Streamline the architecture and querying procedures for massive databases, including financial data and insurance claims
  • Build intuitive interactive analytics portals and robust data visualizations using Python/Flask, R/Shiny, or D3
  • Develop software packages in Python and R
  • Optimize computationally intensive workflows using C, C++, CUDA, cloud computing, and grid/HPC environments
  • Serve as a technical mentor, participate directly in client engagements, and help scale the firm’s internal data science knowledge base
  • Monitor technological developments, particularly in generative AI, and integrate cutting-edge tools, applications, and data sources into the firm’s services

Requirements

What you’ll need
  • PhD in a highly quantitative discipline, such as Computer Science, Statistics, Mathematics, Economics, or a related scientific field
  • Demonstrated ability to independently tackle complex analytical problems and derive meaningful insights using advanced mathematical frameworks
  • Expert proficiency in Python and/or R is required, supported by a strong portfolio of applied project experience
  • Deep technical understanding of generative AI concepts and mechanisms, including embeddings, RAG, prompt engineering, tool calling, and structured generation, with hands-on experience prototyping or deploying AI agents
  • Strong awareness of the ethical considerations, risks, and responsible-use best practices associated with generative AI applications
  • Experience with cloud platforms such as Azure and AWS, as well as High-Performance Computing (HPC) environments
  • Familiarity with Linux, Docker, and JavaScript front-end frameworks such as Angular and Vue.js is highly advantageous
  • Exceptional interpersonal and communication skills, with a proven track record of collaborative teamwork
  • Fluency in English is strictly required
  • Candidates must possess valid work authorization
  • Solid experience working with structured and unstructured data
  • A valid work permit is required

Benefits

Comp & perks
  • No benefits, perks, or additional compensation are specified in the posting