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# lead data scientist- Pricing, Data & Analytics (Seattle, WA)

- **Company:** Starbucks
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $146,300.0 - $243,900.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Big Data, Cloud Computing, Cluster Analysis, Data Presentation, Decision Support Systems, Distributed Computing Environment, Integer Programming, Python (Programming Language), Linear Programming, Machine Learning, SQL Databases, Tableau (Software), Cloud Platform System, Pyspark, Optimization Algorithms, Data Analytics, Data Pipelines, Databricks
- **Published:** July 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d2f43c7d5d4fc037

## About the Role

* 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

Preferred Skills:

 * 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

## Description

From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.

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.
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.


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