Data Scientist (Global Data and Analytics)

Job Summary

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.

RESPONSIBILITIES/ACCOUNTABILITIES:

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 preferredParticipate in the research of analytical methods to find or advance solutions to business problemsClearly and concisely explain complex analytical findings to non-analytical peers and business leadersCreate 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 monitoringAuthor 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 necessaryFollow 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 querying geospatial data preferredExperience 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 preferredExperience 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 preferredStrong 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 preferredAvailability to travel up to 10% of the timeHybrid 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.

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Circle K is an Equal Opportunity Employer.
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