data scientist, Data & Analytics (Seattle, WA)

About the position

As a Data Scientist, you’ll support business decisions by partnering on a cross-functional team to understand complex data relationships and build core data science models. You’ll use data to create insights, develop repeatable pipelines, and deliver decision-ready outputs that can be adopted into real workflows.

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.

Requirements

• 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

• medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits
• 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
• 401(k) retirement plan with employer match
• 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