Data Scientist with AI Experience

Pacer Group; Toronto; Hybrid; CAD 110,000 - 165,000; Full time

Job summary

Pacer Group is seeking a Data Scientist with AI experience for a hybrid Toronto-based role. You will analyze AI adoption, measurement of engineering productivity, and data-driven KPIs to guide cost and quality decisions in a BFSI context.

The ideal candidate has 10+ years in Analytics or Data Science, expertise in Python, SQL, statistics, and experiment design, and hands-on work with Databricks, Power BI, and GitHub. You will collaborate across teams while upholding privacy constraints.

Qualifications

• 10+ years of experience in Analytics or Data Science.
• Strong expertise in Python, SQL, statistics, experiment design, and cohort analysis.
• Experience in data quality, Git/GitHub, and reproducible data analysis.
• Hands-on experience with Databricks, Unity Catalog, Microsoft Fabric, and Power BI.
• Ability to analyze AI adoption, engineering productivity, code quality, deployment, usage, and cost metrics.
• Experience evaluating GitHub Copilot and Claude Code productivity, defining KPIs, and delivering data-driven insights while considering privacy and data limitations.

Skills

Python

SQL

Statistics

Experiment design

Cohort analysis

Data quality

Reproducible data analysis

AI adoption metrics

KPIs

Privacy considerations

Tools

Databricks

Unity Catalog

Microsoft Fabric

Power BI

Git/GitHub

Job description

Job Title: Data Scientist with AI Experience

Location: Toronto, ON

Work Arrangement: Hybrid (2-3 days a week)

Employment Type: Contract / Full Time

Salary / Pay Rate: Open to right candidate

Domain: BFSI

SKILLS REQUIRED:

This role is open for both full time as well as contract.

• 10+ years of experience in Analytics or Data Science.
• Strong expertise in Python, SQL, statistics, experiment design, and cohort analysis.
• Experience in data quality, Git/GitHub, and reproducible data analysis.
• Hands-on experience with Databricks, Unity Catalog, Microsoft Fabric, and Power BI.
• Ability to analyze AI adoption, engineering productivity, code quality, deployment, usage, and cost metrics.
• Experience evaluating GitHub Copilot and Claude Code productivity, defining KPIs, and delivering data-driven insights while considering privacy and data limitations.

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.