Staffing Analytics Lead — Forecasting & Optimization

Posted today

starbucksFranklin (TN)

Data Scientists Other Scientific and Technical Consulting Services

SENIORITY

Lead

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About the role

Starbucks is seeking a Lead Data Scientist to guide forecasting models and optimization for staffing across the US and Canada. You will architect scalable systems, apply machine learning, and collaborate with cross-functional teams to influence workforce planning and store operations. You will mentor other data scientists, drive production-grade analytics, and translate complex methodologies into actionable insights with compelling dashboards and visuals.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.