Full Job Description
Now Brewing – Data Scientist, Operations Analytics #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and its rich tradition, but that also brought a feeling of connection. We are known for developing and supporting partners who share this passion and are guided by their service to others.
As a Starbucks Data Scientist, you will support the Operation Services organization and contribute to Starbucks success by guiding business decisions through utilizing data analysis and consulting that results in predicting outcomes, understanding complex data relationships, and developing a quantitative return on investment. This position partners on a cross-functional team of data scientists, decision scientists and data analysts supporting strategic initiatives utilizing the latest in computing technologies and operating across customer transactions and data elements to unlock the opportunities to support our global business.
Leveraging your previous experience, we will enable you to:
Use statistical, machine learning techniques to build models that address business needs.
Extract data from various data sources; performs exploratory data analysis, cleanses, massages, and aggregates data
Collaborate cross functionally with other data scientists, statisticians, and business analysts to define business problems and implement solutions.
Employ scaling & automation to data preparation techniques
Connect insights to business decision making options and next steps testing or research opportunities
Understand business initiatives and serves as primary analytic resource in discussions with business partners to define business questions
Drive creation of final insights package and recommendations; leads presentation
Direct analytic component of implementation of insights into business processes and ensures appropriate testing takes place
Develop project proposals, gains stakeholder buy-in, and ensures timelines are met
Promote and advocate value of advanced analytics to solve business problems within department
We’d love to hear from people with:
Education: BS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline
Minimum of 2+ years industry experience in data science
Strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline
Experience building complex data sets from multiple data sources, both internally and externally.
Strong SQL, databases and ETL skills required including cleaning and managing data.
Advanced competency and expertise in Python, R or some combination
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
Ability to educate others on statistical / machine learning methods
Self-starter, attention to details and results orientated, able to work under minimal guidance.
Proficient in communicating effectively with both technical and nontechnical stakeholders.
Retail and eCommerce experience, preferred
Experience on Cloud platforms such as Azure, AWS, preferred
Experience working with distributed data processing frameworks such as Spark and Data bricks, and languages such as Java, PySpark or Scala, preferred
Let us give you the opportunity to be part of something bigger than yourself. It’s time for you to #beapartner. Apply today!
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