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About the Role

As a Lead Data Scientist on the Staffing Algorithms team, you will lead the development of advanced forecasting models and optimization algorithms that shape staffing decisions across US and Canada company-owned stores. You will drive the evolution of the staffing system by applying rigorous analytics, partnering with cross-functional teams, and influencing strategic workforce planning. Your work will directly impact store operations, staffing efficiency, and customer experience at scale.

Responsibilities

Design and Architect the Future Staffing Ecosystem
Build a scalable, data-driven staffing framework that optimizes labor allocation across stores.
Incorporate predictive modeling, constraints into staffing algorithms.
Drive Labor Optimization
Identify inefficiencies such as underutilization and overstaffing through advanced analytics.
Implement optimization strategies leveraging machine learning, simulation, and scenario planning.
Partner with operations and finance to align staffing models 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.

Requirements

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

Skills

Machine learning
Statistical techniques
Regression
Classification
Clustering
Causal inference
Python
SQL
Databricks
Azure
Tableau
Forecasting models
Time series
Operational planning
Optimization techniques
Linear programming
Mixed-integer programming
Heuristic algorithms
PySpark

Location

US
Canada

Work Type

Onsite (four days a week)

Experience Level

Lead
5+ years of progressive experience in data science

Education Level

Bachelor's degree (via Starbucks College Achievement Plan)

Benefits

Medical, dental, vision, basic and supplemental life insurance
Voluntary insurance benefits
Short-term and long-term disability
Paid parental leave
Family expansion reimbursement
Paid vacation from date of hire
Sick time (accrued at 1 hour for every 25 hours worked)
Eight paid holidays
Two personal days per year
401(k) retirement plan with employer match
Discounted company stock program (S.I.P.)
Starbucks equity program (Bean Stock)
Incentivized emergency savings
Financial well-being tools
100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program
Student loan management resources
Access to other educational opportunities
Backup care
DACA reimbursement

About the Company

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.

Equal Opportunity

Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.