Data Scientist

Great Value Hiring; Canada; On-site; CAD 137,760 - 206,640; Full time

Job summary

Great Value Hiring is seeking a Data Scientist in Canada to design rigorous evaluation criteria for data science deliverables, including analyses, statistical modeling, and ML pipelines. The role involves experimentation and producing technical notebooks.

You will evaluate AI-generated or human work against established standards, provide detailed written justifications, and iteratively refine assessments with senior reviewers across projects.

Qualifications

• 1+ years of professional data science experience required.
• Experience at a leading technology, research, or quantitative firm preferred.
• Strong command of Python, SQL, statistical modeling, ML, experimentation, and translation of real-world data into analyses.

Responsibilities

• Design precise grading criteria for data science deliverables ( analyses, ML pipelines, experiments, reports).
• Evaluate AI-generated or human work against established criteria.
• Provide detailed written justifications for evaluations and scores.
• Apply consistent, evidence-based judgment for reproducibility and defensibility.
• Incorporate feedback from senior reviewers and iterate on submissions.
• Specific responsibilities vary by project.

Skills

Python

SQL

Statistical modeling

Machine learning

Experimentation

Causal inference

Data wrangling

Technical writing

Job description

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