Hudson's Bay Company Logo

Hudson's Bay Company

Data Scientist

Posted 12 Days Ago
Be an Early Applicant
In-Office
Oakville, ON, CAN
Mid level
In-Office
Oakville, ON, CAN
Mid level
Lead end-to-end machine learning and scorecard projects for origination, credit limit and collections. Design, develop, validate, deploy and monitor predictive models and segmentations. Collaborate with business partners, interpret results, address system issues, produce reports, and present findings to senior management while supporting related ad hoc tasks.
The summary above was generated by AI
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.

About Us

At Canadian Tire Services Limited/Canadian Tire Bank, it is our mandate to continue to create innovative and rewarding financial solutions for our customers. Our growing suite of products and services showcase the dynamic contributions from our employees and our success is driven by a strong vision, loyal customers, and our ability to build teams that reflect the diverse customers and communities in which we live and work. Join us, where there's a place for you here.

Our Commitment to Diversity, Inclusion and Belonging 

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. .

Accommodations  

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

Hudson's Bay Company Brampton, Ontario, CAN Office

8925 Torbram Rd, Brampton, Canada, L6T 4G1

Similar Jobs

4 Days Ago
Remote or Hybrid
Canada
Mid level
Mid level
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Use Coursera learner and product data to define and track KPIs, analyze consumer behavior, produce dashboards, partner with business leaders to inform consumer strategy, and present actionable insights to cross-functional teams to drive product and business decisions.
Top Skills: DatabricksLookerPythonRSigmaSQLTableau
17 Days Ago
Hybrid
Toronto, ON, CAN
Mid level
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Build, deploy, and maintain machine learning models on large-scale datasets. Extract, clean, and analyze numerical and textual data. Develop model pipelines, run experiments, optimize business strategies, and evaluate new data sources and technologies.
Top Skills: Ai AgentsAws Ec2Aws LambdaAws RdsAws S3CircleCIGitGitGradient Boosting MachinesH2OJenkinsNeural NetworksPythonRSQLTensorFlowXgboost
Yesterday
Remote or Hybrid
CA
Senior level
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Lead pricing modeling and experimentation to optimize margin, conversion, and retention. Build elasticity and willingness-to-pay models, design A/B and bandit experiments, develop pricing automation (DealBot) and monitoring for AI-driven rate recommendations, own ETL/analysis/visualization, and partner with Finance, Risk, Product, and GTM teams to operationalize pricing intelligence.
Top Skills: Agentic AiLlmsLookerNumpyPandasPythonRRag SystemsSnowflakeSQLTableau

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account