Starbucks · 1 day ago
decision scientist, Coffeehouse Development Platforms & Insights
Seattle, WA
Full-time
Hybrid
Entry Level
$113K/yr - $170K/yr
1+ years expStarbucks is a company that celebrates coffee and connection, and they are seeking a Decision Scientist for their Coffeehouse Development Platforms & Insights team. The role focuses on analyzing complex datasets, generating actionable insights, and collaborating with cross-functional teams to optimize the Coffeehouse portfolio and support investment decisions.
CoffeeFood and BeverageRestaurantsTea
Responsibilities
Analyze and model data: Access, prepare, and analyze complex datasets from multiple sources (AWS, Azure, Databricks, SQL, Python, Alteryx, etc.) to evaluate Coffeehouse performance, reinvestment opportunities, and space optimization scenarios. Identify anomalies, data gaps, and quality issues, and partner cross‑functionally to resolve them. Visualize with clarity via Tableau and other industry tools
Generate insights and communicate implications: Synthesize analytical findings into clear, actionable insights that illuminate tradeoffs and opportunities. Present recommendations to non‑technical audiences in a way that is concise, approachable, and connected to business outcomes
Proactively surface opportunities: Identify emerging patterns, performance drivers, and reinvestment opportunities across the existing Coffeehouse portfolio. Bring forward data‑driven recommendations that influence long‑term planning and capital deployment decisions
Collaborate cross‑functionally: Partner with teams across Reinvestment, Coffeehouse Development, Finance, Operations, Data Science, and Data Engineering to ensure analytical work is rigorous, relevant, and integrated into business processes and decision frameworks
Support model development and validation: Work closely with data science teams to refine assumptions, validate model outputs, and ensure analytical tools accurately represent Coffeehouse dynamics and investment scenarios
Qualification
Required
Bachelor or Arts/Science or equivalent experience
Minimum of 1 year of experience with coding languages to support data preparation (SQL), pipelines (Python), and data analysis (R, Python)
Minimum of 1 year experience with data visualization tools and techniques (e.g. Tableau, PowerBI, Shiny, D3)
Performs data analysis and profiling using SQL and Python or R, with light guidance from senior practitioners on methodology
Possesses outstanding collaboration skills with colleagues at an operational level
Effectively presents complex technical material to nontechnical audiences in an approachable way
Uses software and packages to create data visualizations and build dashboards, independently - with intent to influence strategic and operational decision-making
Interprets results of data analysis or visualization and communicates implications and recommendations, with light review from senior practitioners
Adheres to standards and best practices (e.g., version control, coding standards, documentation, storytelling with data, business)
Has sound understanding of Starbucks business, and business acumen in general, including familiarity with business drivers in functional / domain focus area
Builds connection between work product and business application, with guidance at times
Applies key human-centered design principles to the work, considering relevant audiences and business processes receiving the work
Collects and contributes to requirements definition as appropriate; with light supervision, interprets requirements to design analysis communication, data sensitivity policies, analytics best practices, engineering best practices) with light guidance from senior
With light supervision, meets work deadlines and communicates proactively when there may be delays
Has minimum understanding of decision sciences and how to evangelize this capability
Preferred
BA/BS with a concentration in Statistics, Math, Computer Science, Engineering, Econ, Psychology, Quantitative Social Science, or a similar field preferred
Benefits
Medical
Dental
Vision
Basic and supplemental life insurance
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
A 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
Company
Starbucks
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items.
10001+ employees
H1B Sponsorship
Starbucks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (208)
2024 (127)
2023 (130)
2022 (172)
2021 (146)
2020 (149)
Funding
Current Stage
Public CompanyTotal Funding
$2.65BKey Investors
Elliott Management Corp.Pershing Square Capital Management
2025-05-06Post Ipo Debt· $1.75B
2024-07-19Post Ipo Equity
2018-10-10Post Ipo Equity· $900M
Leadership Team
Brian R. Niccol
Chairman and Chief Executive Officer
Cathy R. Smith
CFO
Recent News
Morningstar.com
2026-01-23
Company data provided by crunchbase