Senior, AI & Data Science

LinkedIn Job Wrapping · Montréal, Quebec, Canada

Posted 27 days ago

or apply directly on LinkedIn Job Wrapping's site. We never take the application ourselves.

Is this posting real?

This role has been open: 27 days
Reposted: No
Salary listed: No
Ghost-job risk at LinkedIn Job Wrapping: high
Hiring momentum: 133 roles opened in the last 90 days
Last confirmed on the employer's board: 2026-09-17

Measured from postings appearing on and disappearing from LinkedIn Job Wrapping's own greenhouse board since 2026-08-03. Full hiring picture for LinkedIn Job Wrapping.

About this role

As a Senior AI & Data Scientist at Artefact, you will own the entire lifecycle of data models, from problem framing to production deployment. Your responsibilities include developing statistical and machine learning models, running fine-tuning experiments, building data pipelines, and creating visualizations to support data storytelling. Additionally, you will mentor junior scientists and present findings to clients, translating complex methodologies into business language.

Our read on this posting3.4out of 5

benefits: 3/5
freshness: 4/5
career value: 5/5
role clarity: 5/5
pay transparency: 0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of LinkedIn Job Wrapping as an employer.

What you need

3–5 years of relevant data science experience with a substantial quantitative skill set
Strong knowledge of statistics and ML algorithms, with at least one proven experience developing and deploying models
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL
Hands-on experience with LLMs: evaluation, RAG, or fine-tuning experiments
Specialization in at least one major AI platform ecosystem — Google (Gemini, Vertex AI), Anthropic (Claude), or OpenAI — and familiarity with a cloud platform (GCP, Azure, or AWS)
Comfort with AI-assisted development tools such as Claude Code, Gemini CLI, or Cursor

Nice to have

Causal inference, time series, or advanced statistics experience
Hugging Face Transformers, LoRA/PEFT, or open-weight model experience
MLOps exposure: model versioning, pipelines, monitoring
Cloud certifications, especially Google Cloud Professional Machine Learning Engineer

What you get

Learning and Development: Work alongside a multidisciplinary team of AI, data, and consulting experts who are committed to continuous learning, knowledge sharing, and professional growth
Hybrid Flexibility: Our hybrid work model gives you the flexibility to balance collaboration, client needs, and personal commitments
Comprehensive Benefits: We offer a competitive benefits package that includes medical, dental, and vision coverage, a 401(k) plan with company matching, and paid parental leave
Time to Recharge: We offer unlimited paid time off, giving you the flexibility to take the time you need
Growth Opportunities: You'll have the opportunity to expand your skills, take on new challenges, and help shape the future of the company

Worth weighing

No salary listed
Focus on both consulting and technical roles may require balancing client interaction with technical work
Expectations for mentoring junior scientists may add additional responsibilities

Summarised from LinkedIn Job Wrapping's posting. Read the full original.

Listed by LinkedIn Job Wrapping on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.