lead data scientist- Pricing, Data & Analytics (Seattle, WA)
Indexed description
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.
As a lead data scientist, you will…
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.
- 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.
- 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.
- 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
- 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
- If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will 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, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation or 1(888) 611-2258.
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