Starbucks Coffee Company senior data scientist, Supply Chain Advanced Analytics, SSC - Seattle, WA in Seattle, Washington

Summary of Experience

  • Years within data analysis field or discipline (3 years minimum)

Basic Qualifications

  • Education: MS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline

Required Knowledge, Skills and Abilities

  • Expert knowledge in optimization and simulation

  • Expert knowledge in inventory optimization

  • Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities

  • Advanced competency and expertise in at least one Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.) with exposure and business-applicable experience in additional techniques

  • Advanced competency and expertise in at least one Data ETL (Teradata, Oracle, SQL) with exposure and business-applicable experience in additional languages

  • Advanced competency and expertise in at least one Analytic Languages (Python, Spark) with exposure and business-applicable experience in additional languages

  • Big data processing techniques, preferred

  • Retail experience, preferred

Starbucks and its brands are an equal opportunity employer of all qualified individuals, including minorities, women, veterans and individuals with disabilities. Starbucks will consider for employment qualified applicants with criminal histories in a manner consistent with all federal, state, and local ordinances.