data scientist, Data & Analytics (Seattle, WA)

Summary

Starbucks is a company known for its connection and leadership in the coffee industry. They are seeking a Data Scientist to support business decisions by leveraging complex data relationships and building core data science models.

Responsibilities

• Extract, shape, and validate data using SQL (and other frameworks as needed) to create analytically-ready datasets and dimensional/relational processes that support measurement and decision-making
• Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases
• Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs and monitor model performance, and translating results into implications and recommendations

Skills

• 1+ year of experience in data science, applied analytics, or related work
• BA/BS or equivalent experience
• Proficiency with SQL and Python and/or R (data prep, pipelines, modeling)
• Working knowledge of common modeling techniques (e.g., regression, classification, decision trees, clustering, causal inference)
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
• Strong communication skills and attention to detail
• Degree concentration in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science, or similar)
• Advanced degree (MS or PhD) preferred
• Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)
• Experience supporting model measurement/monitoring through dashboards and performance reporting
• Expertise in building Bayesian elasticity models and causal inference
• Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support

Qualifications

Must Haves

• 1+ year of experience in data science, applied analytics, or related work
• BA/BS or equivalent experience
• Proficiency with SQL and Python and/or R (data prep, pipelines, modeling)
• Working knowledge of common modeling techniques (e.g., regression, classification, decision trees, clustering, causal inference)
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
• Strong communication skills and attention to detail

Nice to Haves

• Degree concentration in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science, or similar)
• Advanced degree (MS or PhD) preferred
• Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)
• Experience supporting model measurement/monitoring through dashboards and performance reporting
• Expertise in building Bayesian elasticity models and causal inference
• Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support

Benefits

• Access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits
• Access to short-term and long-term disability
• Paid parental leave
• Family expansion reimbursement
• Paid vacation from date of hire*
• Sick time (accrued at 1 hour for every 25 hours worked)
• Eight paid holidays
• Two personal days per year
• Participation in a 401(k) retirement plan with employer match (eligible partners)
• Discounted company stock program (S.I.P.)
• Starbucks equity program (Bean Stock)
• Incentivized emergency savings
• Financial well-being tools
• 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan
• Student loan management resources
• Access to other educational opportunities
• Backup care
• DACA reimbursement
• Partners have access to backup care and DACA reimbursement
• Onsite work arrangement: onsite four days a week
• Accrual and grant of vacation time by state: if working in CA, CO, IL, LA, ME, MA, NE, ND or RI, accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above; for roles in other states, granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above
• Time off pursuant to the Colorado Healthy Families and Workplaces Act (as applicable)