Zachary Sam Zaiss
Quant UXR / Product Analytics / Data Science
- Role
- Principal Quantitative Ux Researcher at Microsoft
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Zachary Sam Zaiss
I\'m a Product Analytics leader with a mixed background in Data Science and UX Research, and a proven ability to build and lead high-performing, impactful, and diverse teams. My teams consistently establish proven track records of driving improvements in revenue-producing KPIs by embedding with our stakeholders to build deep contextual understanding of their data, emphasizing a growth mindset and continuous learning in building the data culture for the organization, and prioritizing explainable models to drive clear action plans from each project we take on.Given my background, I\'m also very passionate about encouraging Data Scientists and UX Researchers to work better together. To that end, I\'ve spoken frequently around collaboration strategies for these two disciplines. Links to selected talks can be found below.
Experience
Principal Quantitative Ux Researcher
Jan 2026 — Present · Redmond, WA, US
Power Platform, Copilot Studio
Education
UC Berkeley School of Information
Master's Degree, Information and Data Science (MIDS)
2014 — 2015
University of California, Berkeley, Haas School of Business
Data Strategy: Leveraging Data as a Competitive Advantage
Carnegie Mellon University
Master's Degree, Human-Computer Interaction (MHCI)
2004 — 2006
University of Nebraska at Omaha
BS, Computer Science, Math, Psychology
2000 — 2004
Skills
- Machine Learning
- Usability Engineering
- Wireframes
- User Research
- Cognitive Walkthrough
- Research Design
- Task Analysis
- Usability Testing
- Data Science
- Paper Prototyping
- Python
- Persona
- Heuristic Evaluation
- Contextual Inquiry
- Human Computer Interaction
- R
- User Interface Design
- User-Centered Design
- User Experience Design
- Usability
- Design Workshops
- User Interface
- User Scenarios
- Focus Groups
- Team Management
- Storyboarding
- Information Design
- Card Sorting
- Statistics
- Data Analysis
- Interaction Design
- Product Design
- Product Management
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