Sr. Manager, Data Science - People Analytics
Current
Mar 2022 - Present
AeroLeads people directory · profile
Mike Thacker Email & Phone Number
Data Science at Starbucks
at
Starbucks
1 work email found
@starbucks.com
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Data Science at Starbucks
Location
Seattle, Washington, United States
Who is Mike Thacker? Overview
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Quick answer
Mike Thacker is listed as Data Science at Starbucks at Starbucks, based in Seattle, Washington, United States. AeroLeads shows a work email signal at starbucks.com and a matched LinkedIn profile for Mike Thacker.
Mike Thacker previously worked as Sr. Manager, Data Science - People Analytics at Starbucks and Lead Decision Scientist at Starbucks. Mike Thacker holds Doctor Of Philosophy (Phd), Economics from University Of Oregon.
Company email context
Email format at Starbucks
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{first_initial}{last}@starbucks.com
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AeroLeads found 1 current-domain work email signal for Mike Thacker. Compare company email patterns before reaching out.
Profile bio
About Mike Thacker
"With every cup, with every conversation, with every community - we nurture the limitless possibilities of human connection."Trained as a PhD economist, worked in consulting for public utilities, Amazon in People Analytics, and Starbucks across multiple domains - mainly marketing, experimental and non-experimental measurement, data literacy, and now Partner Analytics.After years as an individual contributor, I now manage an awesome team doing some of the most critical work for Starbucks. I enjoy working with so many people, across levels and teams, who sincerely want to do the best we can for our partners and our business in support of Starbucks mission and promises: https://stories.starbucks.com/mission/Profile background photo by Mike Kenneally on Unsplash
Listed skills include Economics, Research, Econometrics, Statistics, and 37 others.
Current workplace
Mike Thacker's current company
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8 roles · 17 years
Mike Thacker work experience
A career timeline built from the work history available for this profile.
Lead Decision Scientist
May 2021 - Mar 2022
Sr. Decision Scientist
At Starbucks, I focus on causal inference for media measurement, including ownership of the methods used to measure linear TV and online display ads both with and without the opportunity for experimentation. I am building Starbucks' internal data literacy program.
Nov 2019 - May 2021
Economist
At Amazon, I do econometrics and ML research in Connections, an innovative program that gives Amazonians a confidential and effective way to give feedback on the workplace and help shape the future of the company. I have invented, piloted, and evaluated multiple product features for personalization and scalable content creation. I invented and delivered a mechanism generating thousands of personalized insights, scaling the impact of the research team, and automating work from the business intelligence team. I have worked with diverse stakeholders spanning Amazon businesses to experiment and alleviate employee pain-points that get in the way of Customer Obsession.
Aug 2017 - Oct 2019
Economist
At Christensen Associates Energy Consulting, I primarily work on projects for energy-industry clients. This includes competitive and regulatory analysis, demand-response and program evaluation using causal inference techniques, rate design review and proposals, and research to optimize utility infrastructure efficiency using smart-meter data.
Jul 2016 - Jul 2017
Graduate Teaching Fellow | Phd Candidate
My responsibilities as a PhD Candidate focused on research. My research is in the fields of Industrial Organization and Applied econometrics with a focus on the telecommunications industry. In my dissertation, I implement maximum likelihood, Bayesian, general method of moments, and minimum distance estimation techniques that use data along with economic theory to answer important questions. As a GTF, I planned courses, prepared and gave lectures, wrote and gave exams, and helped students individually in weekly office hours.
Jun 2015 - Jun 2016
Graduate Teaching Fellow | Phd Student
My responsibilities include planning courses, lecturing, and writing and giving exams for independently taught upper-division courses, as well as teaching lab sections, and grading exams and assignments for other instructors. I also hold office hours weekly and keep up my research for my doctorate at the same time.
Aug 2012 - Jun 2015
Student Outreach Ambassador
Presented information to individuals using multiple mediums at events focused on studentrecruitment and community outreach with audiences ranging in size from a few individuals toone hundred individuals
2010 - 2011
~1 yr
4 education records
Mike Thacker education
Doctor Of Philosophy (Phd), Economics
University Of Oregon
Master Of Science (M.S.), Economics
University Of Oregon
Bachelor Of Science (B.S.), Economics
University Of Oregon
High School Diploma
Del Oro High School
FAQ
Frequently asked questions about Mike Thacker
Quick answers generated from the profile data available on this page.
What company does Mike Thacker work for?
Mike Thacker works for Starbucks.
What is Mike Thacker's role at Starbucks?
Mike Thacker is listed as Data Science at Starbucks at Starbucks.
What is Mike Thacker's email address?
AeroLeads has found 1 work email signal at @starbucks.com for Mike Thacker at Starbucks.
Where is Mike Thacker based?
Mike Thacker is based in Seattle, Washington, United States while working with Starbucks.
What companies has Mike Thacker worked for?
Mike Thacker has worked for Starbucks, Amazon, Laurits R. Christensen Associates, Inc., University Of Oregon, and Lane Community College.
How can I contact Mike Thacker?
You can use AeroLeads to view verified contact signals for Mike Thacker at Starbucks, including work email, phone, and LinkedIn data when available.
What schools did Mike Thacker attend?
Mike Thacker holds Doctor Of Philosophy (Phd), Economics from University Of Oregon.
What skills is Mike Thacker known for?
Mike Thacker is listed with skills including Economics, Research, Econometrics, Statistics, Data Analysis, Public Speaking, Microsoft Office, and Stata.
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