Starbucks · 3 days ago

Lead Data Scientist

Seattle, WA

Full-time

Hybrid

Senior Level

7+ years exp

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CoffeeFood and Beverage

Actively Hiring

Insider Connection @Starbucks

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Build optimization models; robust optimization, gradient and non-gradient optimization as well as scale optimization techniques across large problems.

Design, deliver and sustain enterprise-scale AI/ML and optimization models.

Deploy and scale AI/ML models leveraging distributed frameworks and cloud computing.

Work as part of a cross-functional team responsible for improving the workforce management ecosystem at Starbucks.

Qualification

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Machine Learning TechniquesData ETLAnalytic LanguagesModelingSQLPythonJavaRubyRSASSPSSStataTeradataOracleRegressionTree ModelsSurvival AnalysisCluster AnalysisForecastingAnomaly DetectionAssociation RulesQuantitative DisciplineCross-Functional ProjectsMultidisciplinary Business PrinciplesBig Data ProcessingRetail ExperienceECommerce Experience

Required

Minimum 7 Year’s Experience

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

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 several Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.)

Advanced competency and expertise in several Data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig)

Advanced competency and expertise in several Analytic Languages (R, SAS, SPSS, Stata)