Evaluate AI model outputs on data science, statistics, machine learning, experimentation, and quantitative problems. Develop expert prompts, datasets, and reference solutions; identify statistical and methodological errors; and provide structured feedback to improve model performance. The role requires Python, machine learning, statistics, data analysis, experimentation, Pandas, and data modeling skills.
Role Title: Data Scientist
Role Type: Contract
Location: Remote
Required Skills
Python
Machine Learning
Statistics
Data Analysis
Experimentation
Pandas
Data Modelling
You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.
Scope of Work
Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
Create expert-level prompts, datasets, and reference solutions
Identify flawed methodology, statistical errors, and weak quantitative reasoning
Provide structured feedback that improves model capability
Preferred Qualifications
At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
Undergraduate degree from a top-ranked university
Based in an English-speaking country
Clear written communication of technical and statistical concepts
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
