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Canada, Montreal

Scientifique des données senior (diplôme de doctorat) - Montréal (Date de début YYYY) at Groupe d'analyse (Analysis Group) | Montreal, Canada

Company/Recruiter: Groupe d'analyse (Analysis Group)

Published on: Oct 30, 2026 · Closes Nov 29, 2026
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Opportunity snapshot

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Opportunity type

Job

Location

Canada, Montreal

Work arrangement

Location-based; remote work not stated

Compensation

Not disclosed

Closing date

Nov 29, 2026

Employer

Groupe d'analyse (Analysis Group)

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MorrJobs preparation notes

Role shape: Responsibility-led role with a detailed skills profile.

Evidence to prepare: Connect your CV or portfolio to Doctoral degree in a quantitative field such as Statistics, Computer Science, Mathematics, or a related discipline.; Proven experience in advanced statistical modeling and machine learning.. Use one concrete example that shows you can Design, develop, and implement sophisticated statistical models and machine learning algorithms..

Check before applying: Confirm that Canada, Montreal and the stated work arrangement suit you, check the closing date of Nov 29, 2026.

  • Apply before Nov 29, 2026.
  • The application route is available to verified Talent accounts.
  • Compensation is not disclosed in the listing; confirm it during the employer's process.
Groupe d'analyse (Analysis Group) is seeking a highly skilled and motivated Senior Data Scientist, holding a PhD, to join our esteemed team in Montreal. This role offers the opportunity to contribute to innovative solutions and make a significant impact for our clients. If you are a seasoned professional with a passion for data and a desire to excel in a dynamic environment, we encourage you to apply.

Job Overview

We are looking for a Senior Data Scientist with a doctoral degree to contribute to complex analytical projects. The successful candidate will leverage advanced statistical and machine learning techniques to derive insights from large datasets, informing critical business decisions for our diverse clientele.

Key Responsibilities

  • Design, develop, and implement sophisticated statistical models and machine learning algorithms.
  • Analyze complex datasets to identify trends, patterns, and actionable insights.
  • Communicate findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to define project scope and objectives.
  • Stay abreast of the latest advancements in data science and machine learning.

Requirements

  • Doctoral degree in a quantitative field such as Statistics, Computer Science, Mathematics, or a related discipline.
  • Proven experience in advanced statistical modeling and machine learning.
  • Proficiency in programming languages such as Python or R.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal abilities.

What We Offer

  • A challenging and rewarding work environment.
  • Opportunities for professional growth and development.
  • Collaboration with leading experts in the field.
  • A commitment to fostering innovation and client success.

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