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Data science engineer - Starbucks


Seattle, Washington
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Job Details

Job Summary And Mission

This position contributes to Starbucks success by providing strategic vision, leadership and bringing to life Technical Data Science program that enables cutting-edge data analysis over hundreds of terabytes of data, As a key member of the Technical Data Science team, will be a bridge between Data Engineers and Data Scientists in line of business teams in building out the next generation analytics platform and scalable analytical models that push the boundaries of analytics and machine learning.

Models and acts in accordance with Starbucks guiding principles.


Summary Of Key Responsibilities

Responsibilities and essential job functions include but are not limited to the following:

  • Develop, evangelize strategy, roadmap for Technical Data Science in consultation with senior business partners, Data science groups and Technology leadership.
  • Research trends and innovation in analytics to guide initial uses and potential adoption
  • Translate strategic analytics requirements into Analytics tools and infrastructure
  • Design, run and evaluate experiments to monitor key sales / customer / store, product and program metrics, understand root causes of changes in performance
  • Design/ Run experiments to answer targeted questions
  • Research, prototype, develop / adapt emerging algorithms, empirical methods and quantitative tools to analyze high volume historical data and high velocity streaming data
  • Operationalize Analytical models at scale.
  • Leads innovative packaging and presentation of insights to business and broader analytics community
  • Identify and promote best practices across the organization
  • Coach and mentor a community of Data Science engineers and citizen data scientists.


Summary Of Experience

  • Leadership role in large scale Analtytics programs (2+ years)
  • Analytics consulting in Retail industry (2+ years)
  • Statistical Modelling & Machine Learning with proficiency in using packages / languages such as SAS/R/Python (3+ years)
  • Experience with Big Data Systems ( such as Hadoop) (2+ years)
  • Overall experience in Data Engineering & Analytics (7 years)


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



  • Provides Project leadership: Ability to initiate, organize and champion complex analytics effort with a cross functional team of Data Engineers, Data Scientists and business stakeholders
  • Takes on leadership opportunities within the development team. Initiates and facilitates team meetings to socialize technical ideas, encourages a culture of excellence among peers, and identifies good opportunities for adopting innovation



  • 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 (Hadoop, Oracle, SQL, Python, Java, Ruby, Pig)
  • Advanced competency and expertise in several Analytic Languages (R, SAS, SPSS, Stata)
  • Big data processing techniques, preferred
  • Retail experience, preferred


Job Scope

  • Annual Managed Expenses


Core Competencies

  • Puts the Customer First: Has a relentless focus on the customer. Understands what the customer wants and how to best deliver the experience.
  • Works Well with Others: Listens and communicates well with others within and outside of Starbucks. Creates a team environment that is positive and productive.
  • Leads Courageously: Takes personal responsibility to do the right thing, and persists in times of challenge or uncertainty. Adapts quickly to change and makes timely, thoughtful decisions.
  • Develops Continuously: Continuously seek opportunities to improve self and others. Leads with trust, honesty and commitment to hire, coach and develop partners to achieve their potential.
  • Achieves Results: Understands what drives overall business success and is accountable to prioritize and deliver quality results. Demonstrates knowledge of core products and processes to get results. Anticipates obstacles and takes action to prevent or minimize their impact.


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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