Note: The job is a remote job and is open to candidates in USA. Starbucks is a company that celebrates coffee and connection, and they are seeking a Senior/Lead Decision Scientist for their data democratization team. This role will focus on driving data-driven decision-making across various domains, optimizing store performance, and enhancing the partner and customer experience.
Responsibilities
- Partner with cross-functional stakeholders to define problem statements, success metrics, and decision frameworks
- Translate ambiguous business problems into structured analytical frameworks and actionable insights
- Guide stakeholders through trade-offs, risks, and implications of data-driven recommendations
- Communicate insights clearly to both technical and non-technical audiences, influencing decisions at multiple levels
- Analyze data to deliver actionable insights with strong hands-on experience with modern analytics and BI tools, including Alteryx, Power BI, Tableau, and MicroStrategy
- Ability to design, build, and scale interactive dashboards and reporting solutions that drive decision-making
- Data preparation, transformation, and workflow automation (e.g., Python, R, SQL) to enable efficient analytics
- Establish reporting cadence, monitor KPIs, and share updates with stakeholders
- Stay ahead of emerging AI/BI trends to accelerate data modernization efforts (Generative AI, Augmented Analytics)
- Collaborate with architects and engineers to enable AI-driven insights and modern BI capabilities (Cloud Platforms: Azure, APIs)
Skills
- 5+ years in analytics, decision science, roles
- Education: BA/BS in business or quantitative discipline (Stats, Math, Comp Sci, Engineering); Masters preferred
- Strong communication and storytelling skills with an executive presence
- Proven ability to drive projects from concept to impact in ambiguous environments
- Technical proficiency in Python, SQL, and modern BI tools; familiarity with AI/ML concepts
- A natural facilitator who loves working with people and building connections
- Comfortable managing complexity and change
- Passionate about data integrity and compliance
- Growth-minded, solution-oriented, and eager to learn continuously
- Strong communication and facilitation skills with cross-functional teams, including those with and without technical backgrounds
- Excellent documentation and organizational skills
- Experience bridging technical and business teams
- Demonstrated willingness to learn continuously, adopt new technologies and approaches, and share knowledge
- Growth-minded, solution-oriented, and curious!
- Enjoy working with people and data!
- Experience integrating AI-driven insights into dashboards, semantic models, or data marts
- Expertise advanced AI techniques and build AI-orchestrated pipelines for complex data analysis
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
- Eligible partners 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
- Vacation accrual 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 in CA, and 120 hours annually for roles below director and 200 hours annually for roles director and above in other states
Company Overview