Data Scientist

Valnet Inc.

Montreal

On-site

CAD 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Full health insurance
Daily on-site lunches
Fitness subscription reimbursement
Competitive compensation and bonus

Job summary

Valnet Inc. is seeking a Data Scientist in Montreal to design and deploy AI agents that enhance workflow efficiency. Responsibilities include integrating AI systems, prototyping, and measuring impact through performance metrics. The ideal candidate will have 1-5+ years in AI product development, a strong knowledge of LLMs and automation frameworks, and an ability to work in ambiguous environments. Benefits include full health insurance, daily lunches, and a fitness reimbursement program.

Qualifications

  • 1-5+ years of relevant experience in AI product development.
  • Proven track record of shipping products or systems.
  • Strong grasp of AI systems and agent frameworks.

Responsibilities

  • Design AI agents to enhance workflow efficiency.
  • Integrate AI into existing infrastructure to minimize manual work.
  • Prototype, test, and launch production-ready systems.

Skills

Building and deploying AI-driven products
Knowledge of LLMs and automation pipelines
Ability to prototype and test quickly
Work in ambiguous situations

Job description

Data Scientist

Location: Onsite - Montreal

Key Responsibilities
  • Design and deploy AI agents that improve workflow efficiency and scalability
  • Design and integrate AI agents within existing infrastructure to reduce manual intervention and increase system-level efficiency
  • Rapidly prototype, test, and deploy production-ready systems
  • Measure impact through performance, efficiency, and revenue metrics
  • Continuously iterate based on live data and user feedback
What We’re Looking For
  • 1-5+ years of relevant experience in building and deploying AI-driven products or systems
  • Proven builder: products, systems, startups, or internal tools that shipped
  • Strong knowledge of LLMs, agent frameworks, automation pipelines, and applied AI systems
  • Ability to move from concept -- MVP -- production quickly
  • Comfort operating in ambiguity
  • Bias toward execution and measurable outcomes
  • Experience in digital media, growth, or performance-driven environments is a plus but not required.
Benefits
  • Full health insurance plan (including medical, dental, and vision).
  • Daily on-site lunches, snacks, and coffee provided.
  • Fitness subscription reimbursement program.
  • Competitive compensation plan and bonus structure.
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