Data Scientist Sr (Multiple Positions) – Starbucks Coffee Company

Starbucks Coffee Company
Starbucks Coffee Company

Job Overview

Job Duties: Build predictive models and complex descriptive analytics, clustering and market based analysis. Guide business decisions and interpret and visualize large scale data and outputs. Capture, analyze, synthesize, and verify datasets to turn raw data into knowledge, and knowledge into actionable insights and optimization levers. Extract data from various databases using a variety of methods and perform exploratory data analysis. Provide analytic support (code documentation, data transformations, algorithms, etc.) to IT to implement analytic insights and recommendations into business processes (e.g., feed of modeling scores into campaign manager). Work with key stakeholders to define business questions. Evangelize the value of analytics and data among peers. Minimum Requirements: Masters degree in Statistics, Math, Computer Science, Engineering, Business Analytics, Psychology, Economics, or a related field, and 3 years of experience; or Bachelors degree in Statistics, Math, Computer Science, Engineering, Business Analytics, Psychology, Economics, or a related field, and 5 years of post-bachelors and progressive experience. Of the required experience, must have at least 3 years of experience with analysis techniques, including regression, clustering and cohort analysis. Must have at least 3 year of experience with data in a relational database system (Teradata, Oracle, SQL, or Pig) or cloud based infrastructure (AWS or Azure). Must have at least 3 years of experience with analytic languages (Python, or R). Must have at least 2 years of experience using data visualization skills such as Tableau, Power BI, ggplot, D3, or Looker. Experience applying knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities required. Employer will accept any suitable combination of education, training or experience. Please apply to: https://starbucks.taleo.net/careersection/1000222im/jobdetail.ftl?job200003821&langen&sns_idmailto.Xz29959__tc.mailto

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