Summary Of Key Responsibilities Responsibilities and essential job functions include but are not limited to the following: Extracts data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates data. Employs scaling & automation to data preparation techniques. Introduces incremental improvements to data analysis, visualization, and presentation techniques to communicate discoveries. Researches relevant emerging empirical methods and quantitative tools. Possesses in-depth business knowledge in order to initiate and drive discussions with business partners to identify business issues needing analytic solutions. Leads innovative packaging and presentation of insights to business and broader analytics community. Develops processes to automate and scale insights operationalization. Develops and drives multiple cross-departmental projects. Establishes brand and team as subject matter experts in advanced analytics across departments. Mentors data scientists in pioneering techniques and business acumen. Summary Of Experience Years within data analysis field or discipline (Minimum 7 Years Experience) Basic Qualifications Education: MS+ (PhD preferred) with concentration in quantitative discipline - Stats, Math, Operations Research, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline Required Knowledge, Skills And Abilities Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities Mastery and comprehensive proficiency across most modeling & machine learning techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.) Demonstrated understanding of the principles of rigorous design of experiments Mastery and comprehensive proficiency across most data ETL (Teradata, Oracle, SQL, Python, Pig) Mastery and comprehensive proficiency across most relevant analytic languages (R, SAS, Python) Experience with deploying algorithms/data products into a productionalized environment Preferred Knowledge, Skills And Abilities Operations Research techniques preferred Demonstrated experience with Big Data technologies (Hadoop, Spark), preferably in an cloud-based -computing environment such as AWS, Azure, or Google Cloud Platform Experience with data visualization tools (Tableau, D3, etc) Starbucks and its brands are an equal opportunity employer of all qualified individuals, including minorities, women, veterans & individuals with disabilities. Starbucks will consider for employment qualified applicants with criminal histories in a manner consistent with all federal, state, and local ordinances.
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