Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apply Offsite

Starbucks

Senior/Lead Data Scientist

Pay: $150,000–$200,000/yr

Posted: 2 weeks ago

Location: Goodlettsville, TN (Onsite)

Last Updated: 1 week ago

Hours: Full-Time

Expires: 10/4/2026

Career Insights for Data Scientist

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Tennessee data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.

$103,070 / year median in Tennessee

+25% projected growth

Explore Career

Job Description

Senior/Lead Data Scientist Date Posted:

29 August 2026

Closing Date:

September 28, 2026

Recruiter:

Starbucks Location:

Goodlettsville, Tennessee Salary:

USD150,000

USD200,000

Job Type & Industry:

Data Science Contract Type:

Permanent Job Reference:

2944532831-2 Apply for this job now Job Description Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee and food business. In this role, you will build advanced predictive models and experiments to optimize store operations, personalize customer experiences, and support strategic initiatives. You will partner with marketing, supply chain, and store operations to translate data into clear recommendations, design and evaluate A/B tests, and develop dashboards and analytical tools. You will mentor junior data scientists, promote best practices in data science and MLOps, and help shape Starbucks' data and analytics roadmap. Responsibilities Develop and deploy machine learning models to support marketing, store operations, and supply chain decisions Design and analyze A/B tests and experiments to evaluate initiatives and product features Extract, clean, and transform large datasets using SQL and scripting languages Create dashboards and visualizations to communicate insights to non-technical stakeholders Partner with cross-functional teams to translate business questions into analytical solutions Mentor and guide junior data scientists and analysts on methods and best practices Collaborate with data engineering to productionize models and improve data pipelines Define and promote standards for model evaluation, monitoring, and documentation Contribute to the data and analytics strategy and roadmap for Starbucks Present findings and recommendations to senior leadership in clear, actionable terms Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering Predictive analytics ML model deployment/MLOps