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Artefact

Senior, AI & Data Science

Artefact · Montréal, Quebec, Canada

Posted 27 days ago

or apply directly on Artefact's site. We never take the application ourselves.

Is this posting real?

This role has been open
27 days
Artefact's roles stay open a median of 45 days
Reposted
No
Salary listed
No
4% of Artefact's roles list one
Ghost-job risk at Artefact
high
97 stale, 1 reposted of 124 open
Hiring momentum
154 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

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

About this role

As a Senior AI & Data Scientist at Artefact, you will be responsible for end-to-end model ownership, including problem framing, data management, model development, deployment, and client communication. Your work will involve a variety of modeling techniques such as forecasting, classification, and causal analysis, along with mentoring junior scientists. You will also engage in fine-tuning experiments and build data pipelines to support production-ready solutions.

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 Artefact 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)
  • Excellent interpersonal and communication skills: you can present methodology and results to non-technical audiences

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 end-to-end model ownership may require a high level of responsibility
  • Role involves mentoring junior scientists, which may not appeal to all candidates

Summarised from Artefact's posting. Read the full original.

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

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