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# data scientist, Data & Analytics (Nashville, TN)

- **Company:** Starbucks
- **Location:** College Grove, TN, United States
- **Contract:** Permanent contract
- **Skills:** Microsoft Basic Data Partition, Cluster Analysis, Data Visualization, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Information Technology, Data Analytics, Performance Monitor, Software Version Control, Data Pipelines
- **Published:** August 3, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-2D018A9A9100A6286F/

## About the Role

* 1+ year of experience in data science, applied analytics, or related work
 * BA/BS or equivalent experience
 * Proficiency with SQL and Python and/or R (data prep, pipelines, modeling)
 * Working knowledge of common modeling techniques (eg, regression, classification, decision trees, clustering, causal inference)
 * Experience with data visualization tools (eg, Tableau, Power BI, or similar)
 * Strong communication skills and attention to detail, * Degree concentration in a quantitative field (eg, Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science, or similar)
 * Advanced degree (MS or PhD) preferred.
 * Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)
 * Experience supporting model measurement/monitoring through dashboards and performance reporting

## Description

* Extract, shape, and validate data using SQL (and other frameworks as needed) to create analytically-ready datasets and dimensional/relational processes that support measurement and decision-making.
 * Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases.
 * Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs and monitor model performance, and translating results into implications and recommendations.


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