Job Description: 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 Customer Marketing Analytics team. You will help optimize app-level product recommendations, digitial menu board content, voice-order recommendations, drive-thru personalized menu board content, in-store marketing via personalized content on order labels and POS systems. Job Responsibilities: Leverage and enhance Starbucks’ “DeepBrew” data science experimentation and ML solutions deployment platform that is built in Azure Build and operationalize Machine Learning models in batch, real-time data pipelines and scalable Restful APIs Employ scaling and automation to data preparation in cloud-based VMs and clusters Determine analytics approaches to solve business problems; incorporate machine learning algorithms where appropriate Actively participate in an Agile team structure designed to create a bias for action (fail fast) Connect insights to business decision making options and next steps testing Understand business initiatives and serve as primary analytic resource in discussions with business partners to define business questions and research opportunities Drive creation of business insights package and recommendations; lead presentations Create clear and concise packaging and presentation of data products’ design and utility to business leaders and broader analytics community Promote and advocate value of advanced analytics to solve business problems within department Mentor peers in data science Job Requirements: 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 at least one Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.) with exposure and business-applicable experience in additional techniques Advanced competency and expertise in at least one Data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig) with exposure and business-applicable experience in additional languages Advanced competency and expertise in at least one Analytic Languages (R, SAS, SPSS, Stata) with exposure and business-applicable experience in additional languages Big data processing techniques, preferred Retail, customer loyalty, and eCommerce experience, preferred Qualification & Experience: Education: MS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline Years within data analysis field or discipline (3 years minimum) Job Details: Company: Starbucks Vacancy Type: Full Time Job Location: Seattle, WA, US Application Deadline: N/A Apply Here careersvite.com
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