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Starbucks

Senior/Lead Data Scientist

Pay: $140,000–$190,000/yr

Posted: 2 weeks ago

Location: Springfield, TN (Onsite)

Last Updated: 1 week ago

Hours: Full-Time

Expires: 10/4/2026

Job Description

Senior/Lead Data Scientist Date Posted:

29 August 2026

Closing Date:

September 28, 2026

Recruiter:

Starbucks Location:

Springfield, Tennessee Salary:

USD140,000

USD190,000

Job Type & Industry:

Data Science Contract Type:

Permanent Job Reference:

2944532876-2 Apply for this job now Job Description Starbucks is hiring a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you will lead advanced analytics and machine learning projects to optimize store operations, personalization, supply chain, and customer experience. Partner with cross-functional teams to translate business questions into data solutions, build production-ready models, and develop dashboards and experimentation frameworks. You will mentor junior data scientists, champion data quality and governance, and help shape Starbucks' data & analytics strategy with a focus on ethical, responsible AI and measurable business impact. Responsibilities Lead end-to-end design, development, and deployment of machine learning and advanced analytics solutions. Partner with business stakeholders to translate problems into data science projects with clear success metrics. Analyze large, complex datasets to generate insights that improve operations, personalization, and supply chain efficiency. Develop dashboards, reports, and data products that enable self-service analytics for business partners. Design and evaluate experiments (e.g., A/B tests) to measure impact of new initiatives. Mentor and guide junior data scientists and analysts, promoting best practices in modeling and coding. Ensure data quality, reproducibility, and governance across analytics workflows. Collaborate with data engineering teams to improve data pipelines, features, and model performance. Communicate complex analytical findings clearly to technical and non-technical audiences. Contribute to Starbucks' data & analytics strategy with a focus on ethical and responsible AI. Required Skills Python SQLMachine learning Statistical modeling Experiment design (A/B testing) Data visualization (Tableau/Power BI/Looker) Cloud data platforms (AWS/Azure/GCP) Feature engineering Big data tools (Spark/Hadoop) Model deployment/ML Ops