What you’ll do

　　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 Universe & Promo Analytics, the Senior Data Scientist will be the subject matter expert in understanding the customer-related data sources and data scientist models. The Senior 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.

　　In this role, you will:

　　Partner with business stakeholders to ingest and utilize new data sources as they become available, provide ad hoc business reporting and analysis as requested.

　　Work hand-to-hand with stakeholders to understand business problems, developing data-driven solutions to overcome these problems ultimately adding tangible business value.

　　Provides analytical and technical support in the scope of executing targeted campaigns for our customers.

　　Create data science products to empower the organization with the tools to offer best in class personalized customer experiences.

　　Provide insights and analytics on customer segments that influence test designs and hypotheses. For example, you may identify that for a target segment X, they over-index on attribute Y which may be important to include in the creative for campaign Z.

　　Combine customer-related data sources, collaborating with teams that produce customer insights, deploying data to execution platforms, and measuring lift in campaigns.

　　Measure post-campaign performance of campaigns, identify potential opportunities, and report on statistical significance. For example, using sales data, measure whether the campaign exposed group spent significantly more than the control group and report the relevant p-values.

　　Write queries that efficiently and accurately integrate customer data from a variety of organizational systems.

　　Ensure generated insights meet standards of analytical and statistical rigour, highlighting gaps where necessary.

　　Provide mentorship to team members on data, code, and data science best practices.

　　Lead the creation of efficient, cost-effective high-availability pipelines.

　　Provide ad hoc analytics and recommendations for action as needed.

　　What you bring

　　The dynamic environment requires individuals with experience in a cross functional background, excellent organizational skills, experience working in an agile project environment, advanced analytical ability, strong communication skills to deal effectively with stakeholders and the ability to work effectively in a team as well as independently. Statistics is your strong suit. You’re ambitious, balance technical and business acumen to offer strategic counsel to senior leadership and stakeholders. Thriving in a fast-paced environment, you network on all levels and work with an ‘automate first’ mindset to continuously strive towards efficiency.

　　Required Skills

　　Strong command of machine learning, data science and software engineering.

　　M.S degree in Statistics, Engineering, Computer Science or a related field.

　　More than 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 Python and SQL .

　　Working knowledge with relational and non-relational modeling, database applications and integrations, ETL tools, client/server solutions, and modern query languages

　　Experience with cloud (e.g. AWS, Azure and GCP) and industry standard data warehousing technologies (Cloudera, Snowflake, etc.)

　　Experience in working with Big Data technologies (e.g. Hadoop, HIVE, Spark).

　　Analytical, a problem-solver, detail-oriented and enjoys working in a high-volume work environment.

　　Project management, team mentorship and leadership qualities.

　　Nice to have

　　Experience with R and in using advanced tools such as TensorFlow, PyTorch, etc.

　　Data intelligence and visualization platforms such as Looker, Google Data Studio, Tableau or other similar tools.

　　We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

　　#LI-GS1

　　About Us

　　Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 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.

　　We are 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 excite and serve Canadian customers from coast-to-coast. We are connected to communities, big and small, from coast-to-coast, offering products and services that reflect the diverse nature of every one of them. From sports to outdoors, automobiles to homes, we know and understand life in Canada like no other retailer can.

　　We are always on the lookout for curious, creative people who are able to navigate and excel in a rapidly evolving retail environment. If you’re ready to take on new challenges – be it in digital, IT, marketing, data & analytics, merchandising, or one of the many other roles we have – there is a place for you here, so apply today.