Senior/Lead Data Scientist, Data & Analytics
Core
Build and apply statistical and machine learning models to improve decisions, operational performance, and customer or partner outcomes.
Role type
Senior/Lead IC data scientist (applied analytics & ML) (via careerplan.io/jobs/gc3a1f83-seniorlead-data-scientist-data-analytics-at-starbucks)
Builds
Production ML models, repeatable analysis pipelines, and actionable business recommendations
Domain
Retail / Coffee / Applied Data Science
Deliverable
production ML models | product features
Required skills
Python, R, SQL, statistical modeling, machine learning, experiment design, causal inference, data pipeline creation, model monitoring and retraining
Preferred skills
Cloud analytics (AWS/Azure), distributed computing (Spark), production model deployment, mentoring, cross-functional influence
Technologies
AWS, Azure, Spark, Python, SQL, R
Responsibilities
Translate complex business questions into data science solutions; operationalize analyses and models by creating repeatable pipelines; communicate insights clearly for integration into real business workflows; contribute to shared standards for documentation, version control, and reproducible work; partner across functions to turn ambiguous problems into measurable solutions.
Seniority
Senior/Lead, hands-on IC with mentorship responsibilities
