Data Scientist - Jobs in Toronto, ON

Job Description

Help us boldly shape retail in CanadaCanadian Tire Corporation’s (CTC) rich heritage of serving Canadians from coast-to-coast dates back to 1922. Our vision is to become the #1 retail brand in Canada and we are focused on innovating and making important investments in our business, especially when it comes to our people. To reach our goal, we need the best talent to help us evolve and drive change across the business – and boldly help shape Canada’s retail industry. As we strive to be at the forefront of a complex and vastly changing retail industry, it is an exciting time to join the Canadian Tire family of companies.Reporting to the Manager, Customer Universe & Promo Analytics, the Data Scientist, is responsible for creating data science products to empower the organization with the tools to offer best in class personalized customer experiences. You will partner with business stakeholders to quickly understand business problems, developing solutions and insights that contribute tangible business value.The Customer Universe & Promo Analytics team is accountable for creating a cross-banner and silo-free source of all customer data enabling quick and efficient customer insights, audience creation, customer journey analyses and advanced customer modelling. The team is also responsible for the weekly flyer space allocation as well as measuring the profitability of product promotions displayed on the flyer.Reporting to the Manager, Customer Data Science & Analytics, the Data Scientist provides technical leadership from selecting key customer features and interactions through ensuring accurate data blending to deriving new customer attributes through descriptive and predictive analytics as well as applying a deep understanding of the data science lifecycle to customer modelling. The Data Scientist will be the subject matter expert in understanding the customer-related data sources and data scientist models.What you’ll do:

• Develop and maintain customer and loyalty data services to execute on CTC’s business strategy and objectives that challenge the status quo in our industry
• Design and develop big data applications to implement predictive analytics and machine learning algorithms across the full analytical model life cycle from creation and validation to deployment, management, governance, and monitoring
• Work closely with partners in IT and data infrastructure team to ingest and utilize new data sources as they become available
• Building relationships with stakeholders
• Work hand-to-hand with stakeholders to understand business problems, developing data driven solutions to overcome these problems ultimately adding tangible business value
• Work on ad hoc business reporting and analysis requests

Who you are:

• Have a grasp of statistics, one or multiple programming languages, understanding of databases and solid foundation of relevant technical skills
• Work with an ‘automate first’ mindset and continuously strives to work more efficiently
• Translate business requirements into technical specifications
• Collaborative, strong leadership presence, strategically astute and capable of delivering in a fast paced and innovative market
• Strong business acumen, including modelling, strategic business case development and analytics. With the ability to understand business problems and develop solutions
• Previous experience in machine learning, data science and software engineering

What you’ve done:

• Post-Secondary Education at Master’s level, with +2 years of relevant work experience
• Experience with data science disciplines, including hypothesis testing, statistical modeling, machine learning, recommendation systems, artificial intelligence, cognitive science, deep learning, etc.
• In-depth experience with statistical programming languages like Python, SQL, R, etc.
• Experience using advanced tools such as TensorFlow, PyTorch, etc. and working knowledge with relational and non-relational modeling, database applications and integrations, ETL tools, client/server solutions, and modern query languages
• Experience with cloud (AWS, Azure and GCP) and industry standard data warehousing technologies (Cloudera, Snowflake, etc)
• Experience in working with Big Data technologies (Hadoop, HIVE, Spark)
• Training and mentoring of team members
• Project management with tech and business stakeholders
• Working knowledge / experience with data intelligence/visualization platforms such as Looker, Google Data Studio, Tableau or other similar tools is a plus

Canadian Tire and its family of companies are boldly shaping retail in Canada and we continue to deliver a positive experience for our customers. As one of the most trusted brands in Canada, our employees take pride in the work we do across the country. It’s more than the iconic triangle that keeps our employees around. From benefits and perks, to learning and development opportunities, to our commitment to Jumpstart – these are some of the many reasons why Canadian Tire Corporation is one of Canada’s Best Managed Companies.To learn more about this team and the Canadian Tire family of companies follow us on LinkedIn.Canadian Tire is an equal opportunity employer. We are committed to a diverse and inclusive workplace for all. We recognize that our future success depends on the perspectives and contributions of all our employees - their diverse backgrounds, abilities and experiences make our business stronger. If you are contacted for a job opportunity, please advise us of any accommodations needed to ensure fair and equitable access throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.Quick Apply

• Terms & Conditions
• New Privacy
• Privacy Center
• Accessibility

For Job Seekers

• Browse Jobs
• Advanced Job Search
• Emplois Quebec

For Employers

• Post a Job
• SimplyHired OnDemand

Stay Connected