Now Brewing - Senior Data Scientist, Data & Analytics!

From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. Are you driven to uncover meaningful insights and build data-powered solutions that shape the future of the world's leading coffeehouse brand?

As a Data Scientist within Starbucks' Data & Analytics (D&A) organization, you will be part of the centralized data science and engineering team that drives strategic decision-making and ML/AI capabilities across the business. The D&A organization spans four key pillars: Customer, Retail Operations, Supply Chain, and Enterprise. Each domain is focused on solving unique and complex challenges through data science. Whether personalizing marketing campaigns, optimizing store operations, improving inventory flow, or unlocking enterprise-wide initiatives, our data scientists apply advanced analytics, experimentation, and modeling to elevate the Starbucks experience. This centralized recruiting approach allows us to match candidates with the most relevant opportunities based on their skills and interests, ensuring alignment with business needs and personal growth. Join a team where data meets purpose to shape what's next for Starbucks.

• Lead the design and development of scalable data science solutions from start to finish by utilizing machine learning and statistical analysis. Build scalable processes for cleaning, aggregating, and loading data.
• Understand business initiatives, challenges, questions, concerns, or ideas, transform them into successful data science solutions, and monitor data science metrics and KPIs.
• Mentor data analysts and data scientists on best practices, processes, frameworks, and KPIs. Contribute to project planning, assist with estimates, timelines, and prioritization. Assist in developing the analytical roadmap, data, and technology strategy.

• Education: BS+ with a concentration in a quantitative discipline (Stats, Math, CS, Engineering, Econ, Quantitative Social Science or similar); Masters preferred.
• Minimum of 5+ years of industry experience in data and analytics.
• Strong problem-solving skills with the ability to influence leadership teams at different levels.
• Significant experience with predictive and statistical modeling, machine learning, and all phases of the modeling pipeline.
• Strong SQL, databases, and ETL/ELT skills including cleaning and managing data.
• Advanced competency in Python, R, or both.
• Experience with distributed data processing frameworks (eg, Spark, Databricks) and languages (eg, Java, PySpark, Scala).
• Strong collaboration instincts and ability to work with partners to achieve business outcomes.
• Excellent communication, presentation, and storytelling skills; ability to interact with colleagues, stakeholders, and leaders from diverse backgrounds.
• Proven ability to manage multiple time-sensitive projects with high attention to detail and minimal guidance.

• Familiarity with Customer Identity Resolution
• Experience with Brand Monitoring
• Experience building forecasting models for time series or operational planning
• Background in optimization techniques (linear programming, mixed-integer programming, or heuristic algorithms)
• Deep understanding of machine learning and statistical techniques (regression, classification, decision trees, clustering, causal inference) with practical application

As a Starbucks partner, you and your family will have access to medical, dental, vision, and life insurance, disability coverage, paid parental leave, vacation, sick time, holidays, and personal days. Additional benefits include a 401(k) with employer match, stock programs, financial well-being tools, and educational opportunities such as tuition coverage through the Starbucks College Achievement Plan.
Onsite four days a week. The actual base pay offered will be based on factors including experience and location.

We are committed to diversity and equal opportunity in all aspects of employment. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state, and local ordinances. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation.