Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Developing and deploying AI-powered models including recommender systems and agentic AI solutions with an accent on machine learning, NLP, and data orchestration. Focus on building production-ready models from ambiguous business problems, mentoring, and delivering actionable insights to stakeholders.

Location: Hybrid in Toronto, Canada, with office attendance 1-2 times per week

Salary: CA$115,000–CA$140,000

Company

hirify.global is focused on using AI to improve workforce development and reduce economic inequality by helping people access better jobs faster and more affordably.

What you will do

• Lead development and evaluation of ML and NLP models using structured and unstructured data.
• Build recommender systems, taxonomies, and AI agent solutions from concept to production.
• Mentor and provide data science strategy and leadership within the team.
• Communicate complex model insights effectively to diverse stakeholders.
• Collaborate on data orchestration, storage, and infrastructure to support AI solutions.

Requirements

• Location: Must be based in or near Toronto, Canada, with hybrid work at the office
• 5+ years of combined industry and/or graduate-level research experience in data science.
• Expertise in ML, NLP, LLMs, and software engineering with reproducible results.
• Proven ability to translate vague business problems into production models.
• Strong communication skills for technical and non-technical audiences.

Nice to have

• Experience building recommendation systems, taxonomies, or AI agents.
• Background in economics or social sciences, especially labor market data analysis.
• Experience with data engineering, BI tools, A/B testing, or causal analysis.
• Recognized expertise through publications, talks, or open-source contributions.

Culture & Benefits

• Hybrid work model with office located near Union Station, Toronto.
• Travel up to once per quarter may be expected.
• Focus on impact, humility, and audacious goals.
• Supportive environment encouraging continuous learning and growth.
• Commitment to diversity, equity, and inclusion with accommodations available.

Hiring process

• Online application and initial screen with Director of People & Culture.
• Interview with Hiring Manager followed by a performance challenge.
• Panel interview and final decision within approximately 4 weeks.