{"id":1137906,"url":"https://alion.io/job/partsource-senior-data-scientist","title":"Senior Data Scientist","company":{"id":1051221,"name":"PartSource","domain":"partsource.ca","url":"https://alion.io/company/partsource","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oakville, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":85000,"max":95000,"currency":"USD","period":"year","gross":null,"usd_annual":95000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-09-28T06:57:38Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With world-class Owned Brands and exciting market-leading merchandising strategies, we are continually innovating with purpose: to be there for Canadians from coast-to-coast. We are relentlessly focused on innovating at every level of our business, investing in new technologies and products, and doubling down on the best talent to drive the company forward. It is an especially exciting time to join Canadian Tire and its group of companies.\nWe are the financial services division of one of Canada’s most trusted and recognized retailers in the country. It is our mandate to continue to create innovative financial solutions that our customers love. Our growing suite of products and services are a testament to the dynamic contributions of our employees and our continued focus on innovation. Our success is driven by a strong vision, loyal customers, and our ability to build teams that are reflective of the diverse customers and communities where we work and live.\nThe mandate of the Credit Management & Bank Operations department of Canadian Tire Bank (CTB) is to provide world class analytics to maximize our credit card portfolio profitability by balancing risk with reward potential. The Data Scientist position reports to the Manager, Advanced Analytics Discovery & Design. The position is responsible to investigate potential use of new machine-learning and AI technology for adoption with Canadian Tire Bank.\nWhat you’ll do\nResearch innovative new machine-learning tools and techniques, and assess for suitability for adoption within the business\n\nBuild and maintain custom predictive models, including all steps for ideation to production\n\nDevelop benchmarks and reporting to evaluate performance of new ML models\n\nPatricipate in evaluation of new 3rd-party tools and provide guidance on adoption within Canadian Tire Bank\n\nCreate automation processes/tools to increase efficiency within division\n\nPerform adhoc analysis as requested by business partners, manger and senior leadership and communicate results\n\nPerform quantitative analysis on the CTB portfolio and translate results into actionable recommendations\n\nFoster relationships with internal business partners to develop a thorough understanding of the business & ensure that Credit Risk interests are addressed in collaborative projects\n\nPrioritize & manage multiple work assignments in a changing business environment to ensure that projects are implemented on time & with quality\n\nWhat you bring\nUniversity degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics)\n\n5+ years of experience in data analytics and/or data science\n\nNaturally curious, with an independent drive for self-learning and understanding\n\nDemonstrated superior analytical, mathematical and problem-solving skills.\n\nProven ability to program in pertinent languages, including SAS, SQL, Python\n\nProven ability to translate business needs into statistically sound solutions, and vice versa\n\nBig 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\n\nA high level of attention to detail and an ability to map business needs into solution requirements\n\nStrong written and oral communication skills when presenting results to business stakeholders\n\nKnowledge of the credit card lifecycle & credit risk management is preferred\n\nWe’re always looking for great talent! In addition to competitive pay, we offer:\nComprehensive benefits and retirement programs\n\nPerformance incentives, Continuing Education Programs\n\nOther perks to support your well-being\n\nCareer growth opportunities and product discounts\n\nBroadband Salary Range: $64,000 - 106,000\nOur typical hiring range is between $85,000 and $95,000. 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. #LI-NZ2\nThis 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.\nAbout Us\nAt 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.\nOur Commitment to Diversity, Inclusion and Belonging\nWe 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..\nAccommodations\nWe 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.","description_format":"text","description_chars":5944,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Automotive Components"],"lifecycle":[{"event":"open","at":"2026-09-23T08:57:58Z"}],"liveness":{"score":51,"band":"ok","label":"Likely open","p_open":1,"p_active":0.565,"p_room":0.9,"age_days":14,"expected_fill_days":22,"reasons":["conf:25","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":95000,"is_top_pay":false},"html_url":"https://alion.io/job/partsource-senior-data-scientist","json_url":"https://alion.io/job/partsource-senior-data-scientist.json","meta":{"generated_at":"2026-09-29T00:41:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":573,"day_limit":5000,"remaining_today":4427,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}