What are the responsibilities and job description for the Data Scientist- Real Estate position at Circle K Stores Inc.?
Data Scientist - Real Estate
The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.
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 preferred.
- 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 :
EDUCATION / TRAINING REQUIRED :
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