Senior Data Scientist

Research innovative new machine-learning tools and techniques, and assess for suitability for adoption within the business

Build and maintain custom predictive models, including all steps for ideation to production

Develop benchmarks and reporting to evaluate performance of new ML models

Patricipate in evaluation of new 3rd-party tools and provide guidance on adoption within Canadian Tire Bank

Create automation processes/tools to increase efficiency within division

Perform adhoc analysis as requested by business partners, manger and senior leadership and communicate results

Perform quantitative analysis on the CTB portfolio and translate results into actionable recommendations

Foster relationships with internal business partners to develop a thorough understanding of the business & ensure that Credit Risk interests are addressed in collaborative projects

Prioritize & manage multiple work assignments in a changing business environment to ensure that projects are implemented on time & with quality

University degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics)

5+ years of experience in data analytics and/or data science

Naturally curious, with an independent drive for self-learning and understanding

Demonstrated superior analytical, mathematical and problem-solving skills.

Proven ability to program in pertinent languages, including SAS, SQL, Python

Proven ability to translate business needs into statistically sound solutions, and vice versa

Big picture thinking: Ability to step back and understand impacts on a larger scale and explain complex analytical recommendations to both technical and non-technical stakeholders