18 days old

Data Scientist Lead, Data & Measurement Science, Global Strategy - Starbucks

Seattle, Washington

Job Summary And Mission

Do you have a passion for leveraging statistical and machine learning techniques to drive real-world business and marketing optimization? When designing campaigns, are you always aiming for establishing causation over correlation? Are you up for challenge of solving next-generation retail marketing attribution problems with one of the biggest and highest frequency marketing data sets you’ve ever seen?

If you answered yes to the questions above, please come and join our Customer Marketing Analytics team. You will help Starbucks build and optimize world-class digital relationships with our 25 million rewards member customers, and 75 million total customers. You are primarily a statistician/analyst but are passionate about solving business problems and think like a business owner, designing optimal experiments and deploying solutions that help make Starbucks’ digital relationship with its customers truly unique and revenue enhancing for the business. You will work on some of the most difficult and cutting edge attribution problems, trying to bridge online behavior to offline transactions in a highly dynamic business environment with a growing set of sophisticated tools and technologies.

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:

  • 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 Year’s Experience


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

  • 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)
  • Big data processing techniques, preferred
  • Retail, customer loyalty, and eCommerce experience, preferred


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.


  • Marketing
  • Marketing
  • Business Intelligence

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Data Scientist Lead, Data & Measurement Science, Global Strategy - Starbucks

Seattle, Washington

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Seattle, Washington

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