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- Employment type
- Full-time
- Experience level
- Lead · 10+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 4 days per week
- Seniority
- Mid-Senior level
- Application method
- Apply on LinkedIn (LinkedIn sign-in required)
Job summary
Source, prepare, analyze, and report data measuring AI adoption, engineering flow, quality, and realized value, turning incomplete operational datasets into transparent, decision-ready insights. Combine repository, pull-request, deployment, survey, telemetry, usage, cost, and outcome data; define metrics and limitations; support privacy assessments; and evaluate AI coding tools without mistaking activity for causation.
Job details
Job Title: Data Scientist Location: Toronto, Canada (3-4 days WFO) Hire Type: Fulltime Job Responsibilities: Requires 10+ years in analytics or data science; prior formal AI experience is not mandatory, but strong Python, SQL, statistics, experiment and cohort design, data quality, Git/GitHub and reproducible analysis are essential, along with experience in Databricks, Unity Catalog, Microsoft Fabric and Power BI. Source, prepare, analyze and report data that measures AI adoption, engineering flow, quality and realized value, turning incomplete operational datasets into transparent, decision-ready insights. The role should be able to combine repository, pull-request, deployment, survey, GetDX telemetry, usage, token/cost and outcome data; define metric dictionaries and limitations; support privacy assessments; and evaluate GitHub Copilot and Claude Code productivity without confusing activity with causation.
What you’ll do
Source, prepare, analyze, and report data measuring AI adoption, engineering flow, quality, and realized value, turning incomplete operational datasets into transparent, decision-ready insights. Combine repository, pull-request, deployment, survey, telemetry, usage, cost, and outcome data; define metrics and limitations; support privacy assessments; and evaluate AI coding tools without mistaking activity for causation.
Requirements
Requires 10+ years of experience in analytics or data science, with strong Python, SQL, statistics, experiment and cohort design, data quality, Git/GitHub, and reproducible analysis skills. Experience with Databricks, Unity Catalog, Microsoft Fabric, and Power BI is also required; prior formal AI experience is not mandatory.
Listed skills
- Power BI · Preferred
- SQL · Preferred
- GitHub · Preferred
- Data analysis · Preferred
- Git · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- SQL
- Statistics
- Experiment Design
- Cohort Design
- Data Quality
- Git
- GitHub
- Reproducible Analysis
- Databricks
- Unity Catalog
- Microsoft Fabric
- Power BI
- AI Adoption Measurement
- Data Analysis
- Privacy Assessment
Job areas
- Data & Analytics
- Technology
- Science & Research
- Software