> Markdown version of [/jobs/ext/2818294-data-scientist](https://www.wearedevelopers.com/jobs/ext/2818294-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist

- **Company:** Starbucks
- **Location:** Spring Hill, TN, United States
- **Experience:** Expert
- **Salary:** $135,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Information Engineering, Data Visualization, Apache Hadoop, Python (Programming Language), Machine Learning, Power BI, Tableau (Software), Google Cloud, Feature Engineering, Apache Spark, Data Analytics, Data Management, Data Pipelines
- **Published:** September 10, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2963035975-2

## About the Role

* Python
 * SQLMachine learning
 * Statistical modeling
 * A/B testing and experimentation
 * Data visualization (e.g., Tableau, Power BI)
 * Big data tools (e.g., Spark, Hadoop)
 * Time series forecasting
 * Cloud platforms (e.g., AWS, GCP, Azure)
 * Feature engineering

## Description

Starbucks is seeking a Senior Data Scientist to lead advanced analytics that power decisions across our global coffee and food operations. In this role, you will build and deploy machine learning models to optimize store performance, menu mix, loyalty engagement, and supply chain efficiency. You'll partner with business, marketing, and operations leaders to translate complex data into clear, actionable insights. Using large datasets from retail, mobile, and loyalty channels, you will design experiments, forecast demand, and measure impact. You'll mentor junior data scientists and help shape Starbucks' data science best practices in a collaborative, values-driven environment., * Design, build, and deploy machine learning and statistical models for retail, loyalty, and supply chain use cases.

 * Analyze large, complex datasets to generate clear, actionable insights for business stakeholders.
 * Partner with operations, marketing, and product teams to define problems, scope analytics work, and measure impact.
 * Lead A/B tests and other experiments to evaluate new initiatives and optimize customer and store performance.
 * Develop dashboards and data visualizations that communicate trends and recommendations to non-technical audiences.
 * Mentor and guide junior data scientists, sharing best practices in modeling, coding, and experimentation.
 * Contribute to data science standards, tools, and workflows to improve model reliability and scalability.
 * Collaborate with data engineering teams to ensure high-quality data pipelines and model deployment processes.


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application)
- [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)

## Related Articles

- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany)