Data Scientist

Starbucks
United StatesFull-timePosted Aug 31, 2026

About the role

About The Company

Starbucks is a globally recognized coffeehouse chain renowned for its commitment to quality, community, and sustainability. Established with the vision of creating a welcoming environment where people can connect over a cup of coffee, Starbucks has grown into a leading brand with thousands of stores worldwide. The company prides itself on its innovative approach to coffee, customer experience, and social responsibility. Starbucks fosters a culture of inclusivity, diversity, and continuous learning, empowering its partners to deliver exceptional service and make a positive impact in their communities.

About The Role

As a Data Scientist at Starbucks, you will play a critical role in supporting data-driven decision-making across the organization. You will collaborate with cross-functional teams to analyze complex data sets, develop predictive models, and create scalable data pipelines. Your insights will influence strategic initiatives, optimize operational processes, and enhance customer experiences. This position offers an exciting opportunity to work in a dynamic environment where innovation and data science are at the forefront of business growth. You will be responsible for extracting, transforming, and analyzing data to generate actionable insights, building and refining models, and communicating findings effectively to stakeholders.

Qualifications

The ideal candidate will possess a blend of technical expertise, analytical thinking, and strong communication skills. Candidates should have at least one year of experience in data science, applied analytics, or related fields. A bachelor's degree or equivalent in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Economics, or related areas is required. Proficiency in SQL and programming languages like Python and/or R is essential, particularly for data preparation, modeling, and pipeline development. Familiarity with common modeling techniques such as regression, classification, decision trees, clustering, and causal inference is preferred. Experience with data visualization tools like Tableau, Power BI, or similar platforms is also desirable. Strong attention to detail, problem-solving skills, and the ability to communicate complex insights clearly are critical for success in this role.

Responsibilities

Extract, shape, and validate data using SQL and other frameworks to create analytically-ready datasets that support measurement and decision-making processes.

Develop, improve, and maintain data science models and pipelines by designing scalable workflows for model training, deployment, and output management within shared codebases.

Collaborate with stakeholders to understand business needs, translate them into data science solutions, and communicate insights effectively through dashboards, visualizations, and reports.

Monitor model performance over time, identify areas for improvement, and implement updates to ensure accuracy and relevance.

Document methodologies, processes, and code to promote reproducibility and knowledge sharing across teams.

Stay updated on industry trends, emerging technologies, and best practices in data science to continuously enhance analytical capabilities.

Benefits

Starbucks offers a comprehensive benefits package designed to support the health, well-being, and financial security of its partners and their families. Partners have access to medical, dental, vision, and life insurance, along with voluntary insurance options. Paid time off includes vacation days, sick leave, and holidays, with accrual rates varying by location and role. The company provides paid parental leave, family expansion reimbursement, and backup care services. Starbucks also offers a 401(k) retirement plan with employer matching contributions, stock purchase programs, and equity incentives. Educational support includes 100% tuition coverage for a first-time bachelor’s degree through the Starbucks College Achievement Plan with Arizona State University. Additional resources include student loan management, financial wellness tools, and emergency savings programs. The company promotes a healthy work-life balance and fosters a supportive, inclusive environment for all partners.

Equal Opportunity

Starbucks is an equal opportunity employer committed to creating an inclusive environment for all employees. We celebrate diversity and are dedicated to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, or any other characteristic protected by law. We ensure that all qualified applicants receive fair consideration for employment, and we provide reasonable accommodations to individuals with disabilities. Starbucks values the unique perspectives and experiences of its partners and is committed to fostering a workplace where everyone can thrive.

Responsibilities

  • Extract, shape, and validate data using SQL and other frameworks to create analytically-ready datasets.
  • Develop, improve, and maintain data science models and pipelines.
  • Collaborate with stakeholders to understand business needs and communicate insights effectively.
  • Monitor model performance over time and implement updates.
  • Document methodologies, processes, and code.

Qualifications

  • Bachelor's degree or equivalent in a quantitative discipline.
  • At least one year of experience in data science or applied analytics.
  • Proficiency in SQL and programming languages like Python and/or R.
  • Familiarity with common modeling techniques.
  • Experience with data visualization tools like Tableau or Power BI.

Benefits

  • Medical, dental, vision, and life insurance.
  • Paid time off including vacation days, sick leave, and holidays.
  • Paid parental leave and family expansion reimbursement.
  • 401(k) retirement plan with employer matching contributions.
  • 100% tuition coverage for a first-time bachelor’s degree.

Skills mentioned

PythonRSQLData AnalysisETLData PipelinesMachine LearningStatistical ModelingModel EvaluationData Visualization

About Starbucks

Netrolynx AI is a cutting-edge artificial intelligence company dedicated to building intelligent AI agents and automation solutions that help businesses streamline operations, enhance customer experiences, and accelerate digital transformation. Our core expertise lies in designing and developing custom AI agents powered by advanced large language models (LLMs), natural language processing (NLP), machine learning, and generative AI technologies. We create AI-powered assistants, customer support agents, workflow automation systems, knowledge-based chatbots, and enterprise AI solutions tailored to meet the unique needs of businesses across industries. At Netrolynx AI, we combine innovation, technical excellence, and a customer-first approach to deliver secure, scalable, and high-performing AI solutions. Whether you're looking to automate business processes, improve productivity, or deploy intelligent AI agents, our team is committed to helping you unlock the full potential of artificial intelligence.

Software Development51-200 employees