24 days old
2017-10-262017-12-25

Data scientist lead, Global Strategy - Starbucks

Seattle, Washington

Job Summary And Mission

Data science? At Starbucks? Yes! We are working on problems ranging from multi-touch attribution for all of our marketing touches to mobile app product recommendations to optimized targeting and allocation of marketing resources to bridging online behavior to offline transactions. We work in a highly dynamic business environment with a growing set of sophisticated tools and technologies. You will help Starbucks build and optimize world-class digital relationships with our 25 million rewards member customers, and 75 million total customers and help build a world-class analytics and experimentation platform that will be the playground and deployment engine for our innovative data science team. You’re passionate about solving complex business problems. You can code, innovate and self-serve in building proof-of-concepts and in working with data engineers to deploy API and Web app endpoints and other advanced analytics solutions.

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

Requirements

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.

Categories

  • Data Analytics
  • Data Scientist
  • Business Intelligence

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Data scientist lead, Global Strategy - Starbucks

Starbucks
Seattle, Washington

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Starbucks
Seattle, Washington

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