Starbucks: Data Scientist Principal, Business Strategy

You will be a critical thought leader of the data science practice at one of the most recognized and celebrated brands in the world.

Starbucks At: Starbucks
Location: Seattle, WA

Apply online.

Job Summary and Mission
As a member of the Starbucks Loyalty analytics team, you will be a critical thought leader of the data science practice at one of the most recognized and celebrated brands in the world.
  • You will drive the successful development and deployment of data products, leveraging cutting-edge technologies that will power revenue-generating business applications and processes at Starbucks.
  • You will provide mentorship to cross-functional team of data scientists, statisticians, and business analysts across the loyalty organization and provide technical oversight and guidance for 3rd party vendors who we've employed to help push forward our business objectives.
  • You are passionate about building and deploying analytics that unlock true, measureable incremental revenue for Starbucks - simply producing decks and reports is not enough for you!

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
  • Drives new methods to analyze structured and unstructured data; introduces novel visualization and presentation paradigms to communicate discoveries
  • Introduces incremental improvements to data analysis, visualization, and presentation techniques to communicate discoveries
  • Researches relevant emerging empirical methods and quantitative tools
  • Possesses exceptional business acumen; identifies and understands business problems from strategy through operational impacts
  • Identifies business problems to solve that have the most value to the company
  • Consummate story-teller; expert global audience communicator (corporate wide)
  • Drives to close the gap between insights and business operationalization, via, e.g., in-database and real-time analytics
  • Initiates and owns major company-wide analytic initiatives from a methodology perspective
  • Establishes Starbucks analytic practices across the corporation
  • Mentors data scientists in algorithm development and corporate and industry-wide analytics evangelism

Summary of Experience
  • Years within data analysis field or discipline (minimum 7 year's experience)

Basic Qualifications
  • Education: MS+ (PhD preferred) with concentration in quantitative discipline - Stats, Math, Operations Research, 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
  • Mastery and comprehensive proficiency across most modeling & machine learning techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.)
  • Demonstrated understanding of the principles of rigorous design of experiments
  • Mastery and comprehensive proficiency across most data ETL (Teradata, Oracle, SQL, Python, Pig)
  • Mastery and comprehensive proficiency across most relevant analytic languages (R, SAS, Python)
  • Experience with deploying algorithms/data products into a productionalized environment

Preferred Knowledge, Skills and Abilities
  • Retail, customer loyalty, and eCommerce experience
  • Demonstrated experience with Big Data technologies (Hadoop, Spark), preferably in an cloud-based -computing environment such as AWS, Azure, or Google Cloud Platform
  • Experience with data visualization tools (Tableau, D3, etc)

Starbucks is 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.