lead data scientist- Pricing, Data & Analytics (Seattle, WA)
Starbucks Coffee Company•Seattle, WA
•$146,300 - $243,900•Hybrid
About The Position
As a Lead Data Scientist on the Pricing Data Science team, you will lead the development of advanced pricing models and optimization algorithms that shape pricing decisions across US and Canada company-owned stores. You will drive the evolution of the pricing system by applying rigorous analytics, partnering with cross-functional teams, and influencing strategic workforce planning. Your work will directly impact pricing, and customer experience at scale.
Requirements
- 5+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.
- Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference.
- Advanced proficiency in Python, SQL, and cloud-based analytics platforms (e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.
- Excellent communication and data storytelling skills, with the ability to translate complex methodologies into clear, actionable insights through compelling visualizations and dashboards using tools like Tableau.
- Experience building in-house production systems in complex and data-rich domains.
- Mentoring experience
Nice To Haves
- 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
- Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments
Responsibilities
- Design and Architect the Future Pricing Ecosystem
- Build a scalable, data-driven pricing framework that optimizes revenue.
- Incorporate predictive modeling, and ad hoc analyses into pricing framework.
- Drive Pricing and Revenue management data science
- Identify pricing and promotion potential through advanced analytics.
- Implement optimization strategies leveraging machine learning, simulation, and scenario planning.
- Partner with strategy and finance to align pricing tools with business goals.
- Mentor and Develop Talent
- Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.
- Foster a culture of innovation and continuous improvement within the analytics team.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
