Data Scientist
The role involves designing grading criteria for data science deliverables and evaluating AI-generated or human-created work. The candidate will provide detailed justifications for scores and iterate on work based on senior reviewer feedback.
- On-site
- Canada
- Posted Jul 31, 2026
- 1 position
Job summary
Data Scientist [$100-$150/hr] Role Responsibilities Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks Evaluating AI-generated or human-created work against established criteria Providing detailed written justifications for evaluations and scores Applying consistent, evidence-based judgment so that assessments are reproducible and defensible Incorporating structured feedback from senior reviewers and iterating on submitted work Specific responsibilities will vary depending on the project. Good Candidature 1+ years of professional data science experience Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent) Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference, and translating messy real-world data into rigorous analyses Exceptional written communication skills, including the ability to convey technical findings clearly A detail-oriented and consistent approach to evaluating complex work Comfort receiving feedback and calibrating judgment against established standards
What you’ll do
The role involves designing grading criteria for data science deliverables and evaluating AI-generated or human-created work. The candidate will provide detailed justifications for scores and iterate on work based on senior reviewer feedback.
Requirements
Requires over one year of professional data science experience, preferably at a leading technology or quantitative firm. Candidates must possess strong technical skills in Python and SQL along with exceptional written communication abilities.
Listed skills
- Data analysisPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- SQL
- Statistical Modeling
- Machine Learning
- Experimentation
- Causal Inference
- A/B Testing
- Feature Engineering
- Technical Writing
- Data Analysis
Job areas
- Data & Analytics
- Technology
- Science & Research
- Software
- Engineering
Additional details
- Minimum experience
- 2+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available