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Data Scientist
Bounteous · Montreal, QC · Hybrid · Deleted · Lever
Job facts
| Field | Value |
|---|---|
| Company | Bounteous |
| Title | Data Scientist |
| Normalized title | - |
| Department / team | Data & AI & Cloud / Technology: Data |
| Location | Montreal, QC, Canada |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | deleted |
| ATS provider | Lever |
| Posted / first seen | 2026-04-22 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-03 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Bounteous. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Montreal. | Open |
| Department jobs | Active postings in Data & AI & Cloud. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Bounteous |
| Source | c1f0d19a-a76c-4ce6-ac04-d70aa9734464 |
| ATS provider | Lever |
Description
Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.
Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.
You will work as part of a dedicated machine learning squad focused on building Artificial Intelligence solutions, including both traditional ML and Generative AI. You should be proficient in Python development, predictive analytics, and prompt engineering. As part of the role, you will be able to collaborate with various clients and subject matter experts to understand business requirements, translate them into robust Python implementations, and build machine learning models supported by clear evidence and analysis. You should will also understand the full lifecycle of ML and Gen AI solutions, including their maintenance and continuous performance monitoring. You should also have a strong understanding of the end-to-end lifecycle of ML and Gen AI solutions, including their ongoing maintenance and continuous performance monitoring.
We invite you to stay connected with us by subscribing to our monthly job openings alert here.
Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.
For employment opportunities based in Canada:
Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates.
*Must be legally eligible to work in Canada.
Information Security Responsibilities
Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
Responsibilities:
Contribute to development and maintenance of Machine Learning models for business problems.
Contribute to model evaluation, parameter tuning, feature selection and model calibration experiments for predictive analytics projects.
Contribute towards prompt engineering for data analysis and discovery.
Conduct regular testing and performance analysis.
Conduct necessary bench-marking experiments.
Requirements:
Bachelor’s in computer science or related field.
Years of experience: 5+
Hands-on experience in building ML and Data Science solutions for real world problems.
Understanding of ML models and concepts, good practices and analysis.
Experience/Understanding with Open AI and different LLM models, prompt engineering, testing and performance evaluation.
Strong data science and statistical analytics skills.
Strong in problem-solving with innovative mindset.
Strong Python development skills.
Full job record
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| Org ID | da767577-f807-4e9d-957a-9c910a177f3e |
| Source ID | c1f0d19a-a76c-4ce6-ac04-d70aa9734464 |
| Board ID | c1f0d19a-a76c-4ce6-ac04-d70aa9734464 |
| Provider | lever |
| Provider Job Key | bb9f5d26-c02f-4347-8156-f13dcee45f67 |
| Title | Data Scientist |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Montreal, QC |
| Department | Data & AI & Cloud |
| Team | Technology: Data |
| Employment Type | Full Time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | Canada |
| Region | QC |
| City | Montreal |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.lever.co/bounteous/bb9f5d26-c02f-4347-8156-f13dcee45f67 |
| Apply URL | https://jobs.lever.co/bounteous/bb9f5d26-c02f-4347-8156-f13dcee45f67/apply |
| First Seen At | 2026-05-29 07:02:43Z |
| Last Seen At | 2026-06-03 12:27:24Z |
| Last Checked At | 2026-06-06 07:56:54Z |
| Last Changed At | 2026-06-06 07:56:54Z |
| Inactive At | 2026-06-06 07:56:54Z |
| Source Posted At | 2026-04-22 20:16:40Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=lever/board=bounteous/date=2026-06-03/2026-06-03T12-27-23-680Z-6df0c99239696e249a7b60a3757340beceda305909c50e9a55d1263c584ef68d.json |
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