Scientifique des données (diplôme de maîtrise) - Montréal (Date de début 2027) at Groupe d'analyse (Analysis Group) | Montreal, Canada
Company/Recruiter: Groupe d'analyse (Analysis Group)
Opportunity snapshot
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Opportunity type
Job
Location
Canada, Quebec, 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 Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline.; Proficiency in programming languages such as Python or R.. Use one concrete example that shows you can Develop and implement statistical models and machine learning algorithms..
Check before applying: Confirm that Canada, Quebec, 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.
Job Overview
This position involves applying statistical, machine learning, and computational methods to complex datasets. The Scientifique des données will work collaboratively with senior analysts and consultants to develop data-driven insights and contribute to the overall success of client engagements. This is an ideal role for an individual eager to learn and grow within a dynamic consulting environment.Key Responsibilities
- Develop and implement statistical models and machine learning algorithms.
- Clean, process, and analyze large and complex datasets.
- Visualize data and communicate findings effectively to technical and non-technical audiences.
- Collaborate with cross-functional teams on project deliverables.
- Contribute to research and development of new analytical methodologies.
Requirements
- Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline.
- Proficiency in programming languages such as Python or R.
- Strong understanding of statistical concepts and machine learning techniques.
- Excellent analytical and problem-solving skills.
- Effective communication and interpersonal abilities.
What We Offer
- A stimulating and collaborative work environment.
- Opportunities for professional development and growth.
- Exposure to diverse and challenging client projects.
- Competitive compensation and benefits package.
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