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Job description
Starbucks is seeking a Lead Data Scientist for the Retail Testing Analytics team in Nashville, TN (onsite). In this role, you will help power enterprise testing, experimentation, and measurement with production-grade statistical frameworks, advanced analytics solutions, and optimization algorithms. You will partner across functions to turn business questions into causal measurement and experimentation capabilities, along with decision-support tools that help leaders make confident, data-driven choices.
What you’ll do
Design and enhance scalable, production-grade frameworks for testing and measurement that can be applied across multiple business domains.
Develop and integrate advanced methods including causal inference techniques, optimization approaches, and machine learning models into enterprise testing, experimentation, and measurement platforms.
Evaluate strategic initiatives by partnering with cross-functional teams to quantify business impact, identify opportunities, and enable data-driven decision-making.
Translate analytics into action by communicating complex findings clearly to technical and non-technical stakeholders, including senior leaders.
Mentor and elevate the team by guiding Data and Decision Scientists in advanced analytics, experimentation design, statistical methodology, optimization, and storytelling best practices.
Drive technical excellence by fostering a culture of innovation, continuous learning, and analytical rigor.
What you bring
5+ years of progressive data science experience , including a track record of developing and deploying end-to-end analytical products, statistical models, or data science solutions with measurable business impact.
Deep expertise in statistics, causal inference, experimental design, and advanced analytics, including the ability to apply machine learning and optimization to solve complex problems.
Strong software development skills with advanced proficiency in Python and SQL , plus experience with cloud-based analytics platforms such as Databricks and Azure , including production-grade analytical solutions and data pipelines.
Experience operationalizing platforms for experimentation, testing, measurement, and causal inference.
Exceptional communication and data storytelling through presentations, visualizations, dashboards, and written documentation that translate sophisticated concepts into actionable recommendations.
Experience building enterprise-scale systems in complex, data-rich environments while balancing methodological rigor with practical business needs.
Leadership and mentoring experience with a strong interest in developing talent and raising the team’s technical capabilities.
Proven collaboration with business leaders and cross-functional stakeholders to influence strategy and drive measurable outcomes.
Experience with PySpark and Databricks for distributed computing and large-scale data processing.
Tools you’ll work with
Python, SQL, Databricks, Azure, PySpark
Compensation and benefits
Salary: USD 146,400 - 243,900 per year.
Medical, dental, and vision
Basic and supplemental life insurance
Other 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 via the Starbucks College Achievement Plan
Student loan management resources
Access to other educational opportunities
Backup care
DACA reimbursement
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Worksite address
nashville, TN, 37247, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.