Data Scientist (Global Data and Analytics)

at  Circle K

JOIN OUR TEAM!

At 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!

WHAT YOU’LL NEED

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

EDUCATION

• Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
• Master’s degree preferred
• Masters + 1year / Bachelors + 2 years of experience in a data science/advanced analytics role, or demonstrated ability to perform job functions via academic project/internship experience

KNOWLEDGE AND SKILLS:

• Demonstrated knowledge of SQL, R and Python;
• Experience querying large datasets using SparkSQL or PySpark;
• 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;
• Availability to travel up to 10% of the time

THE ROLE

As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including 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

Excited to embark on a journey with us? Here’s a breakdown of the key responsibilities in this role:

• Develop advanced analytics and predictive models from design through implementation in the areas of pricing and promotion, marketing, merchandising, and other areas of the business as needed
• 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.