Matt Scheid

About Matt Scheid

As a Data Science leader, I specialize in building teams and systems that turn complex data into measurable business outcomes. Most recently at Starbucks, I founded and scaled the scheduling data science function, growing the team from 2 to 10. These efforts delivered hundreds of millions in operating income and reshaped the experience of 200K+ employees by increasing weekly hours and reducing turnover.My career spans data science, analytics, and data engineering, with a consistent focus on connecting technical excellence with business strategy. At Starbucks, I authored a patented machine learning algorithm, optimized recommender systems increasing app engagement, and governed data products powering decisions across 10K stores. I also influenced enterprise technology strategy, shaping infrastructure and vendor decisions to ensure scalable, best-in-class capabilities.Earlier in my career, I partnered with Google Cloud (via Accenture) to advance marketing analytics through attribution modeling, experimentation, and data engineering. This work guided multi-million-dollar investment decisions with statistical rigor.I thrive in roles where I can grow people, scale systems, and bridge the gap between data and strategy. Whether the challenge is retail operations, workforce management, marketing analytics, or a new domain entirely, I bring a leadership style that is pragmatic, people-first, and impact-driven.

Experience

1. Data Science Senior Manager

   Starbucks

   Sep 2023 — Present · Seattle, WA, US

   Founded the scheduling data science domain at Starbucks, establishing foundational metrics and scaling the team from 2 to 10. Owned a portfolio of ML models, reporting dashboards, analytical investigations, and digital guidance tools serving 100K+ retail users and 200K employees.• Delivered $100M+ in operating income by optimizing headcount, schedule quality, and efficiency through ML-integrated digital guidance tools. Increased average weekly barista hours from 19 to 23 and reduced turnover by 20pp.• Built resilient data pipelines and evangelized metric definitions that enabled data-driven decisions and secured funding for continued investment in data science and technology.• Partnered with Directors and VPs across Operations, Product, Engineering, and Finance to shape workforce strategies, including a shift to bottoms-up hiring budgets.• Benchmarked scheduling intelligence algorithms for accuracy and scalability, influencing enterprise technology strategy and vendor selection for an eight-figure Workforce Management System contract.

Education

• Galvanize

  Data Science Immersive, Computer Programming

  2019 — 2019

• University of Washington

  Bachelor of Arts (B.A.), Finance and Information Systems

  2011 — 2015

Skills

• Performance Testing
• Photoshop
• Sketchup
• Painting
• Basic Html
• Data Visualization
• Java
• Customer Engagement
• Information System Design
• Sharepoint
• R
• Theatre
• Online Marketing
• Public Speaking
• Data Analysis
• Small Business
• Dashboard Metrics
• Project Management
• Sql
• Excel Dashboards
• Python
• Technology Consulting
• Visual Basic for Applications (Vba)
• Rhino 3d
• Creative Writing
• Project Finance
• Email Marketing
• Software Development Life Cycle (Sdlc)
• C#