Data Scientist

This onsite Data Scientist role is based in Nashville, TN, with responsibilities centered on extracting and shaping data, building core data science models and pipelines, and delivering decision-ready insights to inform business decisions. Salary range: USD 99, per year.

• Collect, transform, and validate data using SQL and other suitable frameworks to produce analysis-ready datasets and supporting dimensional or relational structures for measurement and decision making.
• Develop and refine core data science models and their pipelines, creating data workflows for training and delivering model outputs within collaborative codebases.
• Present findings clearly by outlining methodological choices, constructing dashboards and visualizations to validate results and monitor model performance, and translating outcomes into actionable implications.

• At least one year of hands‑on experience in data science, applied analytics, or a related field.
• Bachelor's degree (BA/BS) or an equivalent blend of education and work experience.
• Strong skills in SQL and Python and/or R for data preparation, pipelines, and modeling.
• Familiarity with standard modeling approaches such as regression, classification, decision trees, clustering, and causal inference.
• Experience using data visualization tools like Tableau, Power BI, or equivalent.
• Strong communication abilities and meticulous attention to detail.

• SQL
• Python
• R
• Tableau
• Power BI

• Health coverage including medical, dental, and vision benefits
• Basic and supplemental life insurance
• Additional voluntary insurance options
• Short‑term and long‑term disability coverage
• Paid parental leave
• Reimbursement for family expansion costs
• Vacation accrues from the start of employment
• Sick time accrual at 1 hour per 25 hours worked
• Eight paid holidays
• Two personal days annually
• 401(k) retirement plan with employer matching contributions
• Discounted company stock through the Equity Incentive Program and Starbucks equity program Bean Stock
• Emergency savings incentives
• Financial well‑being tools
• Full tuition coverage for a first bachelor's degree via ASU Online through the Starbucks College Achievement Plan
• Student loan management resources
• Backup care options
• DACA reimbursement

• A degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, Psychology, or related disciplines
• MS or PhD is preferred
• Experience working in shared analytics or engineering environments with version control, documentation, and reproducible workflows
• Experience supporting model measurement and monitoring through dashboards and performance reporting