1+ months

Data Scientist, Insights & Analytics - Starbucks

Seattle, Washington
  • Jobs Rated
    7th

Now Brewing – data scientist! #tobeapartner

From the beginning, Starbucks set out to be a different kind of company. One that not only

celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.

Are you a data scientist who thinks like a business owner? Are you passionate about solving business problems by designing optimal experiments and deploying solutions at scale using 1st, 2nd, and 3rd party customer data in a next generation analytics infrastructure to help Starbucks optimize digital engagements with our 75M customers?

If you answered “yes” to the questions above, please come and join our Data Science team. You will help optimize app-level product recommendations, digital menu board content, voice-order recommendations, drive-thru personalized menu board content, 1-1 and in-store marketing via personalized content on order labels and POS systems.

As a data scientist, your responsibilities and job functions will include…

Data Preparation

  • Under direction of more senior data scientists, execute extraction and synthesis of data from Azure: data lake storage (ADLS), blob storage, SQL DW, SQL Server; and legacy systems: Oracle and its companion data lake storage
  • Under direction of more senior data scientists, process 1st 2nd, and 3rd party customer data in next generation privacy compliant infrastructure

Business Understanding & Provide Optimal Solutions

  • Has minimal understanding of Starbucks business, and business acument in general. Requires mentoring and guidance

Machine Learning And Data Product Dev And Deployment

  • Under direction of more senior data scientists, contribute to AI and Machine Learning models in batch, real-time
  • Develop data pipelines and scalable Restful APIs to create and enable analytical applications

Statistics And Model Development And Deployment

  • Leverage the latest cloud technologies, existing and immerging statistical and machine learning techniques to identify data patterns and trends to solve business problems
  • With support from more senior data and decision scientists, build and deploy customer segments to facilitate optimal marketing targeting within channels
  • Via a "feature factory" approach, build large numbers of weak learners in a Customer 360 framework

Insights Operationalization

  • Under the guidance of more senior data scientists, create clear and concise packaging and presentation of data products and insights to business stakeholders, leaders and the broader analytics community

Data Science Evangelism

  • With support from more senior data scientists, establish and foster close collaboration between data and decision scientists, engineers, business and leadership teams to align on technical roadmaps for innovation
  • Establish brand and team as subject matter experts and trusted advisors for Analytics across departments

Project & Work Management

  • Actively participate in an Agile team structure designed to create a bias for action (fail fast/often)
  • Utilize Wiki and GitHub to share standards and code
  • Present code to team for review compared to Best Practice
  • Actively participate in Agile-related meetings: stand-ups, sprint planning, retrospectives, showcases
  • Participate in Microsoft Azure and other trainings

Requirements

We’d Love To Hear From People With

  • Education: Min BS/BA with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ or similar discipline
  • 1+ years’ professional data science experience
  • Demonstrated experience with one programming language such as Scala, Java, C++, C#
  • Demonstrated experience with scripting languages such as Unix Shell (ksh, csh, bash, sh), PowerShell, ARM
  • Demonstrated experience with cloud tech for data and analytics solutions (Azure, AWS)
  • Demonstrated experience building and deploying AI / Machine Learning solutions, at scale
  • Demonstrated familiarity with Web application security, SSL OAuth
  • Demonstrated self-sufficiency with R or Python (or equivalent)
  • Retail, customer loyalty, or eCommerce experience preferred

Join us and be part of something bigger. Apply today!

Starbucks and its brands are an equal opportunity employer of all qualified individuals, including minorities, women, veterans and 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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Jobs Rated Reports for Data Scientist

Posted: 2019-05-09 Expires: 2019-07-08

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Data Scientist, Insights & Analytics - Starbucks

Starbucks
Seattle, Washington

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