Data Scientist

Tundra Technical Solutions provided pay range. This range is provided by Tundra Technical Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range: CA$53,000.00/yr - CA$80,000.00/yr

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Digital Recruiter @Tundra Technical Solutions Job Title:

Data Scientist

Estimated Duration:

Fulltime

What you’ll do

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

Participate in evaluation of new 3rd-party tools and provide guidance on adoption within the company

Create automation processes/tools to increase efficiency within division

Perform ad-hoc analysis as requested by business partners, manager and senior leadership and communicate results

Perform quantitative analysis on the clients 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

What you bring

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

A high level of attention to detail and an ability to map business needs into solution requirements

Strong written and oral communication skills when presenting results to business stakeholders

Knowledge of the credit card lifecycle & credit risk management is preferred

Seniority level Mid-Senior level

Employment type Full-time

Job function Information Technology

Industries Banking and Retail

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