Postuler

Publié il y a 11 jours

Senior Data Scientist, Predictive Modelling

@ Canadian Tire Corporation, Limited

Toronto, Ontario

Temps plein4+ ans d’expérience
Postuler
SIGNAUX

En bref

Canadian Tire Corporation is hiring a Senior Data Scientist for Predictive Modelling to build forecasting, pricing and promotion models that feed enterprise decisions. The role combines hands-on machine learning and causal analysis with leading a team and training others in advanced analytics. The posting gives a broadband salary range of $64,000 to $106,000 and asks for at least four years of data science experience.

Responsabilités :

  • Develop predictive and prescriptive models for enterprise decisions
  • Identify and quantify sales drivers through statistical and machine learning analysis
  • Plan and manage multiple analytics projects and requests
  • Lead, train and coach the team in advanced analytics
  • Act as subject matter expert for established models

Résumé des exigences :

  • 4+ years in data science, modelling and analytics
  • Proficiency in Python, PySpark and SQL
  • University degree, graduate preferred
  • Experience productionizing machine learning projects
  • Understanding of the retail industry
  • Ability to lead and influence without direct authority

Outils et compétences

Avantages mentionnés

Assurance maladie
Source et dates

Site carrière / système de candidatures · workday

Date publiée par l’employeur
2026-10-29
Première détection par notre source
2026-10-30
Mise à jour du dossier source
2026-11-04

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience4 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
Candidatures encouragéesAutochtones, Personnes racisées, 2ELGBTQI+, Femmes, Personnes handicapées
FormationBaccalauréat (préféré), Maîtrise (préféré)
Domaines d’étudesEngineering, Mathematics, Computer science, Statistics, Business
Avantages mentionnésRégime de retraite, Prime de rendement, Rabais employé, Mieux-être

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Canadian Tire Corporation, Limited

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Description complète de l’entreprise

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 a group of companies that includes a retail segment, a financial services division and CT REIT. Our retail business is led by Canadian Tire, which was founded in 1922 and provides Canadians with products for life in Canada across its Living, Playing, Fixing, Automotive and Seasonal & Gardening categories. Party City, PartSource and Gas+ are key parts of the Canadian Tire network. Our retail segment also includes Mark's, a leading source for casual and industrial wear, Pro Hockey Life, a hockey speciality store catering to elite athletes, and SportChek, Hockey Experts, Sports Experts, and Atmosphere, which offer the best active wear brands. Our 1,700 retail and gasoline outlets are supported and strengthened by our Financial Services division and the tens of thousands of people employed across the country by our Company, local Dealers, franchisees and petroleum retailers. In addition, CTC owns and operates Helly Hansen, a leading technical outdoor brand based in Oslo, Norway. CTC is an integral part of the communities in which we operate and our legacy of community support, through national and local programs, is initiated and executed by our Corporation, Dealers, franchisees, store operators and employees. Since 2005, our Canadian Tire Jumpstart Charities has been helping kids overcome financial and accessibility barriers to sport and recreation in an effort to provide inclusive play for all kids of all abilities. For more information, visit corp.canadiantire.ca.

Abonnés LinkedIn
441 198
Personnes associées sur LinkedIn
29 717
Bureaux déclarés
  • 2180 Yonge St, Toronto, Ontario M4S 2B9, CA
Catégories d’activité
  • Automotive
  • Hardware
  • Retail
  • Department, Clothing & Shoe Stores
  • Retail and wholesale
Autres noms enregistrés
  • Canadian Tire Corporation
Spécialités
  • Retail (Automotive
  • Hardware & Houseware)
  • Financial Services
  • Petroleum
  • Sporting Goods
  • and Apparel
Le profil indique une agence de recrutement
Non
Investissement total déclaré
442 700 859

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

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 a group of companies that includes a retail segment, a financial services division and CT REIT. Our retail business is led by Canadian…

ChampValeur
SecteurRetail
Taille10,001+ employees
Siège socialToronto, Ontario
Type d’organisationPublic Company
SpécialitésRetail (AutomotiveHardware & Houseware)Financial ServicesPetroleumSporting Goodsand Apparel
Offres sur Jobsy60
LinkedInVoir la page
Description

What you’ll do

The Senior Data Scientist, Predictive Modelling develops predictive and prescriptive solutions that can be integrated into key enterprise decisions (product forecasting and replenishment, pricing strategy, and promotion optimization). You will conduct traditional and machine learning analytics to identify and quantify cause-and-effect relationships. You will play a key role in the delivery of our advanced analytics roadmap and the development of predictive modelling/machine learning capabilities, while continuing to support the business with traditional analysis and established processes.

The primary responsibilities of this role include:

  • Use predictive/statistical modelling techniques and traditional analytics to identify and quantify sales drivers, conduct what-if scenario analysis and measure the causal impacts
  • Work with cross functional teams to ensure model predictions and recommendations are consistent with business expertise, explainable, and efficiently integrated into processes
  • Plan, track, and manage multiple projects and requests – these initiatives can range from formal long-term project implementations, medium-scale process improvement initiatives, urgent system/tool support issues, or quick ad-hoc analysis requests
  • Proactively identify opportunities and deliver data-supported insights to help improve the accuracy of forecasts and key business decisions
  • Provide leadership and direction to the team, including training and coaching in advanced analytics
  • Act as a subject matter expert for established model implementations and methodologies

Who you are

We are looking for individuals who are:

  • Action oriented, and comfortable taking calculated risks to better serve our customers and business
  • Outcome focused, critical thinkers with the ability to analyze and visualize, to ensure continuous improvement across our entire business
  • Collaborative team players with superior influencing skills, who build relationships easily across various stakeholder groups to move initiatives forward

If you’re curious, ready to take on new challenges and open to doing things differently to help us evolve rapidly, then this is definitely the place to be.


What you bring


The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in a project environment, advanced analytical ability, strong communication skills and the ability to work effectively in a team as well as independently.

  • 4+ years work experience in data science, modelling, and analytics (merchandising or supply chain preferred).
  • University degree (graduate preferred) in engineering, math, computer science, statistics, business or related field
  • Proficiency with programming in Python, PySpark, SQL.
  • Experience with data science disciplines, including machine learning, data transformation/engineering, data validation, visualization, and successfully implementing and productionizing of projects.
  • Strong analytical, problem solving, and data mining skills with the ability to summarize and deliver actionable insights and recommendations.
  • Experience with Cloud computing environments for data science. Knowledge of Azure and Databricks would be an asset.
  • Results-oriented, with proven project and time management skills (planning, prioritizing, executing, delegating, and tracking).
  • Business mindset with an understanding of the retail industry.
  • Demonstrated ability to lead, influence, and motivate peers as well as others without direct authority.
  • Effective written and verbal communication skills, including presentation abilities.

Broadband Salary Range: $64,000 – 106,000
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

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


Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! 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.


Emplois semblables

  • Data Scientist, SAS-to-Python Migration

    Toronto, ON
    65–82 $/hTemps plein

    Finance Professionals

    5+ ansCandidates need 5 to 9 years of SAS and data migration experience, strong Python skills, and knowledge of IFRS9 modelling and credit risk. A bachelor's degree is required and a statistics-related master's is preferred.

    SAS, Python

    Data Scientist, SAS-to-Python Migration (Expert)

    Toronto, ON
    80–95 $/hTemps plein

    Finance Professionals

    10+ ansCandidates need 10+ years of SAS migration and data work, ideally in financial institutions, with expert SAS and Python skills. They must know IFRS9 modelling, credit risk analytics, data validation and clear technical documentation, and hold a bachelor's degree, with a master's in statistics preferred.

    SAS, Python

  • Data Scientist II

    Toronto, ON
    Sur placeTemps plein

    The Toronto-Dominion Bank (Canada)

    3+ ansCandidates need a technical degree, with a graduate degree preferred, and 3+ years of analytics or data science experience. They need strong Python, PySpark and SQL skills, experience with Tableau, Power BI or Databricks, and clear communication with executives.

    Python, PySpark, SQL, Tableau, Power BI, Databricks

  • Senior Data Scientist – Python/SAS Migration

    Toronto, ON
    73,50–98 $/hContrat

    Procom

    10+ ansCandidates need a bachelor's degree, 10+ years of SAS and data migration experience (financial institutions preferred), advanced SAS and Python skills and proven SAS-to-Python migration work. Strong documentation skills and knowledge of IFRS9 and credit modeling are also required.

    SAS, Python

    Data Scientist – Python/SAS Migration

    Toronto, ON
    62,25–83 $/hContrat

    Procom

    Candidates need a Bachelor's degree, advanced SAS and Python skills, and proven SAS-to-Python migration experience. Strong knowledge of IFRS9 modeling and credit risk analytics, plus data quality and documentation skills, are also required.

    SAS, Python

  • Data Scientist

    Toronto, ON
    Temporaire

    Bank of Montreal

    3+ ansCandidates need typically 3+ years of relevant experience or equivalent education and experience. They need strong programming in Python or SAS, proficiency in SQL and big data technologies such as Hadoop and Spark, and experience automating data pipelines.

    Python, SAS, SQL, Hadoop, Spark, AWS SageMaker

    Data Scientist, Fraud Predictive Analytics

    Toronto, ON

    Bank of Montreal

    5+ ansBank of Montreal needs candidates with about 5 to 7 years of data science experience and an advanced quantitative degree or equivalent. They must be skilled in SQL, Python, PySpark and machine learning packages, and have built fraud models for a large financial institution.

    Python, SQL, PySpark, XGBoost, H2O, SparkML

  • Data Scientist

    Toronto, ON

    Scotiabank

    Candidates need expert Python skills, experience applying AI and machine learning to business problems, and strong SQL and big data skills. They also need Power BI expertise, a relevant STEM degree and strong communication skills.

    Python, SQL, Hadoop, Spark, Power BI, Google Cloud

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.