Decision Scientist, Retail Operations

Execute extraction and synthesis of data from various databases, including Azure: data lake storage, SQL server and legacy systems: Oracle; perform exploratory data analysis, cleanse, massage, and aggregate data. Have the ability to handle and maintain the confidentiality of highly sensitive information required for statistical analysis and modeling techniques, including descriptive and predictive analysis (e.g. regression analysis, clustering, anomaly detection). Effectively present complex technical material to non-technical audiences in an approachable way. Provide analytic support (code documentation, data transformations, algorithms, etc.) to implement rules and model insights / recommendations into business processes. Use your working knowledge and understanding of Starbucks business, and business acumen in general, to collaborate with colleagues at all organizational levels, including both field operations / operations services, finance, and Starbucks Technology.

According to JobzMall, the average salary range for a Decision Scientist, Retail Operations in Starbucks Center, 2401 Utah Ave S, Seattle, WA 98134, USA is between $83,000 and $91,000 per year. However, salaries may vary depending on experience, location, employer, and other factors.

Starbucks Corporation is an American coffee company and coffeehouse chain. Starbucks Corp. engages in the manufacture and sale of coffee and tea. It operates through the following segments: Americas; Europe, Middle East, and Africa; China/Asia Pacific; and Channel Development. Its brand portfolio includes Starbucks Coffee, Seattle's Best Coffee, Tazo Tea, Evolution Fresh, La Boulange, and Torrefazione Italia Coffee.