Associate Data Scientist

RESPONSIBILITIES/ACCOUNTABILITIES:

• 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 of Git 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.

KNOWLEDGE, SKILLS AND OTHER QUALIFICATIONS REQUIRED:

• 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 including problem spotting and problem scoping;
• Strong interpersonal skills, including the ability to communicate the business benefits of analytics;
• Availability to travel up to 10% of the time
• Hybrid schedule with a minimum three days in the office

EDUCATION/TRAINING REQUIRED:

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

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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.