Data Scientist

Sportchek; Oakville; Hybrid; CAD 53,000 - 88,000; Full time

Benefits offered by this job

Comprehensive benefits and retirement

Performance incentives

Continuing Education Programs

Well-being perks

Career growth opportunities

Product discounts

Job summary

Sportchek in Oakville, ON is seeking a Data Scientist to lead machine learning projects across origination, credit limit, and collections, delivering end-to-end scorecards and deploying models. You will work with cross-functional teams to translate business needs into data-driven solutions and present results to senior management.

The role requires expertise in SQL, Python, and cloud tools, with 3+ years building predictive models in credit risk or related areas.

Qualifications

• Three plus years of professional experience focusing on developing predictive scorecards and ML models.
• Solid understanding of ML steps and modeling metrics.
• Proficient in SQL, Python and SAS.
• Experience with ML libraries: Pandas, XGBoost, scikit-learn, LightGBM.
• Experience with modeling platforms like Enterprise Miner, Analytics Workbench or SPSS Modeler is a plus.
• Cloud-based data tools like Azure, AWS, Databricks is a plus.
• Background in manipulating large relational databases.

Responsibilities

• Lead machine learning projects that drive origination, credit limit and collection strategies, including managing delivery timelines and coordinating team resources.
• Own the full cycle scorecard design and development from planning and data sourcing to data modeling and validation.
• Deploy new models, implement updates, track data transfers, oversee scoring activities, and manage reports.
• Regularly review and document the predictive effectiveness of various statistical models and recommend actions.
• Create customer segmentation schemes that provide strategy teams with key insights.
• Collaborate with internal customers, retail-side partners and SMEs to translate business needs and synthesize solutions.
• Deliver effective presentations of model design elements and results to senior management.
• Support related tasks and ad hoc activities to meet business objectives.

Skills

SQL

Python

SAS

Education

Bachelor's degree in STEM

Postgraduate degree in mathematics/statistics/data science

Tools

Pandas

XGBoost

scikit-learn

LightGBM

Azure

AWS

Databricks

Enterprise Miner

Analytics Workbench

SPSS Modeler

Job description

## Data ScientistApply: Oakville, ON: Full time: Posted Today: End Date: October 6, 2026 (13 days left to apply): JR165144**What you’ll do:** * Lead machine learning projects that drive origination, credit limit and collection strategies including managing delivery timelines and coordinating team resources* Own the full cycle scorecard design and development from initial planning and data sourcing to data modeling and validation* Deploy new models, implement updates, track data transfers, oversee scoring activities, and manage reports, addressing system or procedural issues as they arise* Regularly review and document the predictive effectiveness of various statistical models and recommend the appropriate course of action* Create customer segmentation schemes that provide strategy teams with key customer insights* Collaborate closely with internal customers, retail-side partners and subject matter experts to understand data, interpret results, translate business needs and synthesize solutions* Deliver effective presentations of key design elements and model build results to senior management* Work on related tasks and ad hoc activities to support business objectives **What you bring:** * University degree in STEM or data science. Postgraduate degree in mathematics, statistics, data science or similar disciplines is preferred* Three plus years of professional experience focused on developing predictive scorecards and building ML models from real-world data. Work in credit risk management or the credit card industry is an asset* Solid understanding of machine learning steps and modeling metrics is a must* Proficient in SQL, Python and, ideally, SAS programming language* Experience with machine learning libraries like Pandas, XGBoost, scikit-learn, LightGBM or other similar ecosystems* Hands-on exposure to modeling platforms like Enterprise Miner, Analytics Workbench or SPSS Modeler is a plus* Comfortable with cloud-based data structures and tools like Azure, AWS and Databricks is a plus* Background in manipulating large relational databases with detailed and granular information We’re always looking for great talent! In addition to competitive pay, we offer:* Comprehensive benefits and retirement programs* Performance incentives, Continuing Education Programs* Other perks to support your well-being* Career growth opportunities and product discounts **Broadband Salary Range:** $53,000 – $88,000.Our typical *hiring range* is between $53,000 and $70,000. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.This posting represents an existing vacancy within our organization.We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.