Data Scientist

Starbucks Coffee Company
United StatesFull-timePosted Aug 31, 2026

About the role

About The Company

Starbucks Coffee Company is a globally recognized leader in the coffeehouse industry, renowned for its commitment to quality, community, and sustainability. Since its inception, Starbucks has aimed to create a welcoming environment where customers can enjoy exceptional coffee and connect with others. The company fosters a culture of innovation, inclusivity, and social responsibility, striving to make a positive impact on communities and the environment. Starbucks is dedicated to developing extraordinary leaders who share its passion for service and excellence, continuously seeking to enhance the customer experience through innovative products and services.

About The Role

The Data Scientist at Starbucks plays a pivotal role in supporting business decision-making processes through advanced data analysis and modeling. This position involves partnering with cross-functional teams to understand complex data relationships, develop core data science models, and create scalable data pipelines. The successful candidate will leverage data to generate actionable insights, build and improve predictive models, and deliver decision-ready outputs that integrate seamlessly into operational workflows. This role requires a combination of technical expertise, analytical thinking, and effective communication skills to translate data findings into strategic recommendations that drive business growth and operational efficiency.

Qualifications

Minimum of 1+ year of experience in data science, applied analytics, or related fields

Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Economics, Psychology, or related fields

Proficiency in SQL for data extraction and manipulation

Strong programming skills in Python and/or R for data preparation, modeling, and pipeline development

Working knowledge of common modeling techniques including regression, classification, decision trees, clustering, and causal inference

Experience with data visualization tools such as Tableau, Power BI, or similar platforms

Excellent communication skills with the ability to articulate complex insights clearly and effectively

Attention to detail and strong problem-solving capabilities

Responsibilities

Extract, shape, and validate data using SQL and other frameworks to create analytically-ready datasets supporting measurement and decision-making

Develop, implement, and refine data science models to address business challenges and improve existing models

Create and maintain scalable data pipelines for model training, deployment, and output management within shared codebases

Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions

Design and build dashboards, visualizations, and reports to communicate insights, monitor model performance, and validate outputs

Explain methodology choices and implications of data-driven recommendations to stakeholders at various levels

Support model measurement and monitoring efforts to ensure ongoing accuracy and relevance of analytics solutions

Document processes, maintain reproducible workflows, and adhere to version control standards

Benefits

Comprehensive medical, dental, and vision insurance plans

Basic and supplemental life insurance coverage

Short-term and long-term disability benefits

Paid parental leave and family expansion reimbursement

Paid vacation from the date of hire, sick leave, and designated holidays

Two personal days annually for personal or urgent needs

Participation in a 401(k) retirement plan with employer matching contributions

Stock ownership plans including the Starbucks Stock Investment Plan (S.I.P.) and Bean Stock program

Access to educational opportunities, including 100% tuition coverage for a first-time bachelor’s degree through the Starbucks College Achievement Plan with Arizona State University

Student loan management resources and financial well-being tools

Backup care services and DACA reimbursement programs

Additional perks and benefits may vary based on location and role

Equal Opportunity

Starbucks Coffee Company is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, or any other protected characteristic. We are dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process and employment. If you require assistance or an accommodation due to a disability, please contact us accordingly.

Responsibilities

  • Extract, shape, and validate data using SQL and other frameworks
  • Develop, implement, and refine data science models
  • Create and maintain scalable data pipelines
  • Collaborate with cross-functional teams to understand business needs
  • Design and build dashboards, visualizations, and reports
  • Explain methodology choices and implications of data-driven recommendations
  • Support model measurement and monitoring efforts
  • Document processes and maintain reproducible workflows

Qualifications

  • Minimum of 1+ year of experience in data science or related fields
  • Bachelor’s degree in a quantitative discipline
  • Proficiency in SQL for data extraction and manipulation
  • Strong programming skills in Python and/or R
  • Working knowledge of common modeling techniques
  • Experience with data visualization tools
  • Excellent communication skills
  • Attention to detail and strong problem-solving capabilities

Benefits

  • Comprehensive medical, dental, and vision insurance plans
  • Basic and supplemental life insurance coverage
  • Short-term and long-term disability benefits
  • Paid parental leave and family expansion reimbursement
  • Paid vacation, sick leave, and designated holidays
  • Participation in a 401(k) retirement plan with employer matching
  • Stock ownership plans
  • Access to educational opportunities with tuition coverage
  • Student loan management resources
  • Backup care services and DACA reimbursement programs

Skills mentioned

PythonRSQLData AnalysisMachine LearningStatistical AnalysisData VisualizationTableauData PipelinesModel Evaluation

About Starbucks Coffee Company

Sundayy makes job discovery feel less chaotic and more intentional. Instead of jumping between platforms, repeating the same steps, and getting lost in the process, everything is brought into one place so you can focus on what actually matters. No clutter, no confusion, just a clearer way to move forward.

Technology11-50 employeesNew York