HR Data Scientist, Data Eng.

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Oct 31, 2026
Experience: 8 to 10 years of experience working in a quantitative or data-intensive field, with demonstrated ability to retrieve, manipulate, and model complex datasets.
Posting language: English
Posted: Oct 1, 2026

Original job description

Our client is looking for a Senior Data Scientist to join its HR Data Science team and turn complex workforce data into clear, actionable intelligence that shapes people strategies at a global scale. In this role, you will lead end-to-end analytics projects - from data engineering and statistical modelling through to stakeholder-ready applications. Sitting within a high-impact analytics function, you will apply advanced data science methods and AI tooling to solve meaningful problems across a large, internationally operating organisation.

Qualifications & Skills

8 to 10 years of experience working in a quantitative or data-intensive field, with demonstrated ability to retrieve, manipulate, and model complex datasets.

Expert-level proficiency in Oracle SQL, Python, experience with building on LLMs for advanced analytics, including data extraction, transformation, statistical modelling, and automation.

Demonstrated ability to build data applications - such as dashboards or interactive tools - that present analytical results clearly to non-technical audiences.

Advanced analytical and problem-solving ability, with a track record of delivering innovative, data-driven solutions to complex business questions.

Experience leveraging GenAI tools to manage multiple concurrent projects while sustaining high analytical accuracy.

Proven ability to independently lead analytics projects end-to-end, from scoping and methodology through to delivery and stakeholder communication.

Master's degree in a quantitative discipline, or equivalent professional experience.

Beneficial Skills & Qualifications

Experience working with HR or people analytics data, with familiarity in workforce metrics and related data structures.

Background in the financial services or credit card industry, with exposure to quantitative modelling in a regulated environment.

Experience collaborating with cross-functional teams in a matrixed organisation, with the ability to build effective working relationships across business areas.

This is a contract role and work type is hybrid (3 days on site).

Location is greater Toronto area.

Apply About employer

More about this job

Responsibilities

Lead end-to-end analytics projects, including data engineering, statistical modeling, and development of stakeholder-ready applications. Apply data science and AI methods to workforce data to produce actionable insights that inform people strategies across a global organization.

Requirements

Requires 8 to 10 years of experience in a quantitative or data-intensive field, expert proficiency in Oracle SQL and Python, and the ability to lead analytics projects independently. A master's degree in a quantitative discipline or equivalent experience is required, with HR analytics and financial services experience considered beneficial.

Skills

Oracle SQL
Python
Data Engineering
Data Extraction and Transformation
Statistical Modeling
Large Language Models
Generative AI
Data Applications
Dashboard Development
HR Analytics
Workforce Analytics
Quantitative Modeling
Project Leadership
Stakeholder Communication
Problem-Solving

Visa sponsorship

Not detected in the job text

Keywords

Oracle SQL
Python
Data Science
Data Engineering
HR Data Science
People Analytics
Workforce Data
Large Language Models
Generative AI
Data Extraction
Data Transformation
Statistical Modeling
Quantitative Modeling
Data Applications
Dashboards
Interactive Tools
Analytics Automation
Stakeholder Communication
Project Leadership
Financial Services
Credit Card Industry
Regulated Environment
Cross-Functional Collaboration
Matrixed Organization

Report this job