Data Scientist, Data & Analytics

Salary: $120,000 - 160,000 per year Requirements:

• We bring at least 1 year of experience in data science, applied analytics, or a closely related field
• We hold a BA/BS degree or equivalent hands-on experience
• We are proficient in SQL and Python and/or R for data preparation, pipeline development, and modeling
• We understand core modeling approaches such as regression, classification, decision trees, clustering, and causal inference
• We have experience with data visualization platforms such as Tableau, Power BI, or comparable tools
• We communicate clearly and maintain a strong eye for detail
• Preferred: we have a quantitative academic background such as Statistics, Math, Computer Science, Engineering, Economics, Psychology, or Quantitative Social Science
• Preferred: we hold an advanced degree such as an MS or PhD
• Preferred: we have experience working in shared analytics or engineering environments with version control, documentation, and reproducible workflows
• Preferred: we have supported model monitoring or measurement through dashboards and performance reporting

• We extract, transform, and validate data using SQL and other frameworks to build analysis-ready datasets and support measurement and decision-making
• We develop and enhance data science models, including basic modeling work and improvements to existing solutions
• We create data pipelines that support model training, outputs, and shared codebases
• We explain our analytical methods, assumptions, and choices to cross-functional partners
• We build dashboards and visualizations to validate outputs and track model performance
• We translate analytical findings into practical insights, recommendations, and business implications

• Support
• Power BI
• Python
• SQL
• Tableau

More:

We are Starbucks, a company built around connection, tradition, and service, and we are looking for a Data Scientist to join our onsite team four days a week. In this role, we partner across functions to turn complex data into actionable insight that supports business decisions and real-world workflows. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; life, disability, paid parental leave, vacation, sick time, holidays, retirement savings with employer match; stock and equity programs; tuition coverage for a first-time bachelors degree; student loan and financial wellness resources; backup care; and other support programs. We are an equal opportunity employer committed to inclusive hiring and reasonable accommodations.

last updated 35 week of 2026