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Senior/Lead Decision Scientist

StarbucksFranklin, Kentucky🇺🇸United StatesPosted 29 Aug 2026

Why This Role Stands Out

This hybrid role at Starbucks offers a fantastic opportunity to leverage your advanced analytics and machine learning skills to directly impact global operations and customer experience, with significant potential for leadership and mentorship. You'll thrive here if you're passionate about translating complex data into actionable strategies and collaborating across diverse teams to drive growth for a renowned brand. Apply now to shape the future of coffee and community with Starbucks!

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Franklin, Kentucky, United States
ETLMachine LearningTableauA/B TestingForecastingPower BI

Job Description

Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed decisions across our global coffee and food operations. In this role, you will develop advanced analytics, forecasting, and experimentation frameworks to optimize store performance, menu, pricing, and customer experience. You'll partner with marketing, operations, and supply chain teams to translate business questions into data solutions using statistical modeling, machine learning, and data visualization. You will mentor junior analysts, champion data quality and governance, and help shape Starbucks' data strategy to support sustainable growth and community impact.

Responsibilities

  • Translate business questions into analytical frameworks and data solutions.
  • Design and execute experiments, A/B tests, and causal analyses.
  • Develop statistical and machine learning models for forecasting and optimization.
  • Create clear dashboards and visualizations for business stakeholders.
  • Collaborate with marketing, operations, and supply chain teams on data-driven initiatives.
  • Ensure data quality, governance, and documentation of analytical assets.
  • Mentor and guide junior analysts and data scientists.
  • Communicate insights and recommendations to senior leadership.

Required Skills

  • Statistical modeling
  • Machine learning
  • A/B testing & experimentation
  • Predictive analytics
  • SQLPython or RData visualization (Tableau/Power BI)
  • Forecasting & time series
  • Data storytelling & presentation
  • Data warehousing/ETL concepts

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