Pricing Analytics Lead – Scale Revenue & Impact

Starbucks Corp.; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Parental leave

Paid vacation

Sick time

Paid holidays

401(k) with employer match

Stock program (Bean Stock)

Job summary

Starbucks Coffee Company is seeking a Lead Data Scientist to architect the future pricing ecosystem and lead data science initiatives for pricing decisions across the US and Canada. You will build scalable, data-driven pricing frameworks and drive optimization using ML, simulation, and scenario planning.

You will mentor data scientists, collaborate with strategy and finance, and translate complex methods into actionable insights with dashboards and visualizations.

Qualifications

• 5+ years of progressive data science experience with end-to-end data product delivery.
• Strong foundation in ML and statistical techniques including regression, classification, clustering, and causal inference.
• Proficiency in Python, SQL and cloud analytics platforms with production-grade data pipelines and model outputs.

Responsibilities

• Design and architect a scalable pricing ecosystem and data framework.
• Drive pricing and revenue management through advanced analytics and optimization.
• Mentor data scientists and foster innovation within the analytics team.

Skills

Python

SQL

Databricks

Azure

Tableau

Machine learning

Causal inference

PySpark

Pricing

Tools

Databricks

Azure

Tableau

PySpark

Job description

Starbucks Coffee Company is seeking a Lead Data Scientist to architect the future pricing ecosystem and lead data science initiatives for pricing decisions across the US and Canada. You will build scalable, data-driven pricing frameworks and drive optimization using ML, simulation, and scenario planning.

You will mentor data scientists, collaborate with strategy and finance, and translate complex methods into actionable insights with dashboards and visualizations.