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- 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.
- 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
- 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
Associate Data Scientist - Toronto, Canada - Circle K
Description
JOB DESCRIPTIONRESPONSIBILITIES/ACCOUNTABILITIES:
KNOWLEDGE, SKILLS AND OTHER QUALIFICATIONS REQUIRED:
EDUCATION/TRAINING REQUIRED:
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