Senior Data Scientist, Predictive Modelling

Canadian Tire Corporation, Ltd.; Toronto; On-site; CAD 64,000 - 106,000; Full time

Job summary

Canadian Tire Corporation, Limited is hiring a Senior Data Scientist, Predictive Modelling to build predictive and prescriptive models that inform enterprise decisions such as product forecasting, replenishment, pricing, and promotions. You will apply ML and traditional analytics to quantify causal impact and deliver data-driven insights.

You will work with cross-functional teams, manage multiple projects, and lead model implementations while mentoring peers.

Qualifications

• 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 productionizing projects.
• Experience with Cloud computing environments for data science. Knowledge of Azure and Databricks would be an asset.

Responsibilities

• Develop predictive and prescriptive solutions for enterprise decisions (product forecasting, replenishment, pricing, promotion optimization).
• Perform traditional analytics and ML to quantify cause-and-effect relationships.
• Lead multiple projects, plan and track initiatives from long-term programs to quick ad-hoc analyses.
• Provide data-supported insights to improve forecasts and business decisions.
• Act as a subject matter expert for established models and methodologies.

Skills

Python

PySpark

SQL

Data analysis

Forecasting

Education

University degree in engineering/math/CS/statistics/business or related field

Tools

Azure

Databricks

Job description

What you’ll doThe 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 impactsWork with cross functional teams to ensure model predictions and recommendations are consistent with business expertise, explainable, and efficiently integrated into processesPlan, 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 requestsProactively identify opportunities and deliver data-supported insights to help improve the accuracy of forecasts and key business decisionsProvide leadership and direction to the team, including training and coaching in advanced analyticsAct as a subject matter expert for established model implementations and methodologiesWho you areWe are looking for individuals who are:Action oriented, and comfortable taking calculated risks to better serve our customers and businessOutcome focused, critical thinkers with the ability to analyze and visualize, to ensure continuous improvement across our entire businessCollaborative team players with superior influencing skills, who build relationships easily across various stakeholder groups to move initiatives forwardIf 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 bringThe 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 fieldProficiency 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 – 106,000Salary 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-NZ2This 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 UsCanadian 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 BelongingWe 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.AccommodationsWe 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.