Lead Data Scientist Pricing & Revenue Optimization

Starbucks; Seattle (WA); On-site; USD 190,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with employer match

Tuition coverage

Job summary

Starbucks seeks a Lead Data Scientist to shape pricing decisions for US and Canada stores. You will architect a scalable pricing ecosystem, drive analytics, and mentor a team of data scientists while partnering with strategy and finance to deliver measurable business impact.

The role emphasizes advanced ML, production pipelines, and compelling dashboards to influence pricing and customer experience at scale.

Qualifications

• 5+ years of progressive experience in data science with end-to-end data product deployment.
• Strong ML and statistical techniques; experience with pricing models and optimization.
• Proficiency in Python, SQL, and cloud platforms; production-grade pipelines.
• Ability to translate complex analytics into actionable insights with dashboards.

Responsibilities

• Lead development of pricing models and optimization algorithms for US/Canada stores.
• Architect pricing ecosystem and drive data science initiatives cross-functionally.
• Mentor data scientists and communicate business impact with visuals.
• Collaborate with strategy/finance to align tools with goals.

Skills

5+ years data science

Machine learning

Python

SQL

Tableau

Data storytelling

Mentoring

Tools

Databricks

Azure

PySpark

Job description

Starbucks seeks a Lead Data Scientist to shape pricing decisions for US and Canada stores. You will architect a scalable pricing ecosystem, drive analytics, and mentor a team of data scientists while partnering with strategy and finance to deliver measurable business impact.

The role emphasizes advanced ML, production pipelines, and compelling dashboards to influence pricing and customer experience at scale.