Senior Data Scientist

JOIN OUR TEAM!

At Couche-Tard/Circle K, our mission is simple: to make our customer’s lives a little easier every day. 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. Are you ready to grow your career? Let's grow together!

Senior Data Scientist – Real Estate

Department: Data Science

Location: Toronto, Ontario

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

Type of employment: Permanent, Full Time (40 hours)

THE ROLE

As a member of the Enterprise Data & Analytics Team, the Data Scientist partners 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 Senior Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to independently deliver 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 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 communicate complex concepts simply and effectively with a non-technical audience.

WHAT YOU’LL DO

• Independently develop advanced analytics and predictive models from design through implementation in the areas of real estate site selection forecasts and network optimization.
• Review data science models, code refactoring, packaging, versioning and monitoring of model output quality.
• Design, improve, document, develop, code, and test sophisticated analytical prototype models in a big-data environment.
• Utilize software development tools and methodologies such as Git, CI/CD and Agile.
• Use statistical-econometric and machine learning methods to design and suggest experiments for data-driven merchandising.
• Measure the overall business value of the models and explain complex analytical findings to non-analytical peers and business leaders.
• Design and implement end-to-end data pipelines: work closely with Data engineering to build data assets (schemas, tables, views) that support business processes.
• Drive strategic initiatives and vision for various project data needs using ETL and data management architecture.

WHAT YOU’LL NEED

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

Knowledge, skills and other qualifications required:

• Experience in the design, development, deployment and monitoring of large-scale production machine learning systems.
• Demonstrated knowledge of SQL, R and Python.
• Experience querying large datasets using Hive/SparkSQL/PySpark.
• Experience with ML frameworks, including a combination of the following: scikit-learn, Tensorflow, Keras, Pytorch, SparkMLlib.
• Experience with software development practices and test automation.
• Experience with version control systems, including Git or Mercurial.
• Experience with cloud-based analytics environments including Azure, AWS or GCP.
• Experience applying operational research, statistical and machine learning techniques.
• Strong problem-solving skills and ability to troubleshoot complex distributed systems.
• Strong interpersonal skills, including the ability to communicate the business benefits of analytics.
• Ability to design, develop, and implement advanced statistical models and predictive analytics solutions.
• Knowledge of commercial real estate preferred.
• Availability to travel up to 10% of the time.

Education / training required:

• Bachelor’s or Masters degree required with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.).
• Masters degree with 3+ years experience or Bachelors degree with 4+ years of experience in a data science/advanced analytics role.
• Experience with Geospatial analytics strongly 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.
• Pension Plan: Plan for your future and retire with peace of mind.
• Share Purchase Plan: Invest in your future and share in our success.
• Paid Time Off: Recharge with paid time off, including vacation days, sick days, and personal days.

Additional Perks:

• Employee Discounts: Enjoy exclusive discounts on our products and services.
• Training and Development: Grow your skills and advance your career.
• Recognition and Rewards: We celebrate our team's achievements.
• Mentorship Program: Take your career to new heights with guidance and support.
• Scholarship Program: Invest in your education and future success.

INTERESTED? 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. We welcome individuals from all backgrounds to join our team.

We thank all candidates for their interest in this position. 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 designated groups: women, aboriginal peoples, persons with disabilities and members of visible minorities.