Data Scientist - Real Estate

JOIN OUR TEAM!

At Couche-Tard/Circle K, our mission is simple: to make our customer's lives a little easier everyday. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Couche-Tard/Circle K is. We have grown into a successful global company with over 16,000 stores in 29 countries, serving almost 9 million customers every day. In total, more than 150,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey's going, we can help you get there. Are you ready to grow your career? Let's grow together!

Department: Data Science

Location: Toronto, Ontario

Hybrid work: 3 days at the office and 2 days remotely

THE ROLE

As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Real Estate, Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization.

The Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to contribute to all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation.

We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience.

WHAT YOU'LL DO

• Develop advanced analytics and predictive models from design through implementation in the areas of real estate site selection forecasts and network optimization. Additional knowledge in areas including pricing and promotion, marketing, and merchandising would also be preferred
• Participate in the research of analytical methods to find or advance solutions to business problems
• Clearly and concisely explain complex analytical findings to non-analytical peers and business leaders
• Create analytic datasets in collaboration with data engineering teams that involves data querying, cleaning, transformation, and feature engineering. Define requirements and test cases for Data validation and monitoring
• Author programming code (e.g., SQL, Python, R, spark) to assemble and analyze data, following/establishing/enhancing organizational standards and coding practices including code management (i.e. Documentation, use ofGit Hub). Lead and participate in peer code reviews for QA/QC/standards compliance.
• Train/Mentor other team members, provide developmental support where necessary
• Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation.

WHAT YOU'LL NEED

We want you to join our team! Here's what we're looking for:

Knowledge, skills and other qualifications required:

• Demonstrated knowledge of SQL, R and Python;
• Experience querying large datasets using SparkSQL or PySpark;
• Experience querying geospatial data preferred
• Experience with ML frameworks such as scikit-learn, Tensorflow, Keras, Pytorch, etc.;
• Exposure with software development practices, object-oriented principles and test automation;
• Exposure to version control systems such as Git - experience preferred
• Experience with cloud-based analytics environments (Azure, AWS or GCP);
• Experience applying operational research, statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.;
• Exposure to agile methodologies using project planning and tracking management tools e.g., JIRA; experience preferred
• Strong problem-solving skills and ability to troubleshoot complex distributed systems;
• Strong interpersonal skills, including the ability to communicate the business benefits of analytics;
• Knowledge of commercial real estate preferred
• Availability to travel up to 10% of the time
• Hybrid schedule with a minimum three days in the office

Education / Training required

• Bachelor's or Masters degree required with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
• Masters degree or Bachelors degree with 1+ year of experience in a data science/advanced analytics role.
• Experience with Geospatial analytics preferred.

WHY YOU SHOULD WORK HERE:

At Couche-Tard/Circle K, we believe that our team members are the heart and soul of our business. When you join us, you're not just getting a job - you're becoming part of a vibrant community where your talents are valued, your growth is nurtured, and your contributions make a real difference. Here's why you'll love working with us:

Benefits package:

• Group Insurance Program: Stay healthy and happy! Our plan provides you with the flexibility to choose coverage that best meets your needs and add optional insurance (health and dental care, long-term disability, life insurance, health spending account)
• Pension Plan: Plan for your future and retire with peace of mind with our pension plan, helping you build a secure financial future.
• Share Purchase Plan: Invest in your future and share in our success with our employee stock purchase plan, allowing you to become a shareholder of Couche-Tard/Circle K.
• Paid Time Off: Recharge and rejuvenate with paid time off, including vacation days, sick days, and personal days to help you maintain a healthy work-life balance.

Additional Perks:

• Employee Discounts: Enjoy exclusive discounts on our products and services, making it even easier to fuel up and stock up on your favorite goodies.
• Training and Development: Grow your skills and advance your career with access to ongoing training and development opportunities, including workshops, seminars, and online courses.
• Recognition and Rewards: We celebrate our team's achievements and milestones with a range of recognition programs, rewards, and incentives to show our appreciation for your hard work and dedication.
• Mentorship Program: Take your career to new heights with our mentorship program, where seasoned professionals provide guidance, support, and valuable insights to help you reach your full potential.
• Scholarship Program: Invest in your education and future success with our scholarship program, available not only to our employees but also to their children. We're committed to supporting your lifelong learning journey and empowering you to achieve your academic and career goals.

INTERESTED? You are only a few clicks away from joining an exceptional company! Visit our careers page at https://workwithus.circlek.com/ca/en to submit your application. We can't wait to hear from you!

At Couche-Tard/Circle K, we're committed to fostering an inclusive and diverse workplace where everyone is treated with respect and dignity. We welcome individuals from all backgrounds and walks of life to join our team and contribute their unique perspectives and talents.

We thank all candidates for their interest in this position. Please note that only selected candidates will be contacted for further steps in the hiring process.

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Circle K values diversity in the workplace and encourages applications from the following designated groups: women, aboriginal peoples, persons with disabilities and members of visible minorities. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request in all aspects of the selection process.