NowBrewing – Data Scientist, Operations Analytics #tobeapartner
Fromthe beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee andits rich tradition, but that also brought a feeling of connection. Weare known for developing and supporting partners who share this passion and areguided by their service to others.
As a Starbucks Data Scientist,you will support the Operation Services organization and contribute to Starbuckssuccess by guiding business decisions through utilizing data analysis andconsulting that results in predicting outcomes, understanding complex datarelationships, and developing a quantitative return on investment. This position partners on a cross-functionalteam of data scientists, decision scientists and data analysts supportingstrategic initiatives utilizing the latest in computing technologies andoperating across customer transactions and data elements to unlock theopportunities to support our global business.
Leveraging your previous experience, we will enable you to:
Use statistical, machine learning techniques to build models thataddress business needs.
Extract data from various data sources; performs exploratory dataanalysis, cleanses, massages, and aggregates data
Collaborate cross functionally with other data scientists,statisticians, and business analysts to define business problems and implementsolutions.
- Employ scaling & automation to data preparation techniques
Connectinsights to business decision making options and next steps testing or researchopportunities
Understand business initiatives and serves as primary analyticresource in discussions with business partners to define business questions
Drivecreation of final insights package and recommendations; leads presentation
Directanalytic component of implementation of insights into business processes andensures appropriate testing takes place
Developproject proposals, gains stakeholder buy-in, and ensures timelines are met
Promoteand advocate value of advanced analytics to solve business problems withindepartment
We'd love to hear from people with:
Education: BS+ with concentration in quantitative discipline -Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science orsimilar 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 cleaningand managing data.
- Advanced competency and expertise in Python, R or some combination
Ability to apply knowledge of multidisciplinary businessprinciples and practices to achieve successful outcomes in cross-functionalprojects and activities
Ability to educate others on statistical / machine learningmethods
Self-starter, attention to details and results orientated, able towork under minimal guidance.
Proficient in communicating effectively with both technical andnontechnical stakeholders.
- Retail and eCommerce experience, preferred
- Experience on Cloud platforms such as Azure, AWS, preferred
Experience working with distributed data processing frameworkssuch as Spark and Data bricks, and languages such as Java, PySpark or Scala, preferred
Let usgive you the opportunity to be part of somethingbigger than yourself. It's time for you to #beapartner. Apply today!
Starbucks is an equal opportunity employer of allqualified individuals, including minorities, women, veterans & individualswith disabilities. Starbucks will consider for employment qualifiedapplicants with criminal histories in a manner consistent with allfederal, state, and local ordinances
Apply on company website