Cassie Kozyrkov

Pioneering AI Democratization

Cassie Kozyrkov stands as one of the most influential voices in artificial intelligence and data science, having served as Google’s first Chief Decision Scientist for nearly a decade before founding her own company, Kozyr, where she now serves as CEO.

She is known for founding the field of Decision Intelligence and personally training over 20,000 Googlers in data-driven decision-making and AI, helping over 500 projects implement decision intelligence best practices.


I often find that people who are underrepresented in a field end up being some of the best people at it, because they didn’t get there by accident. They really had to fight for it and had a deep passion for it. So I would say to any woman out there, or any human who feels like they don’t fit in, just go for it.

Professional Background and Achievements

Kozyrkov is a South African data scientist and statistician who served as Chief Decision Scientist at Google and founded Decision Intelligence. Her journey began remarkably early – growing up in South Africa, she began her undergraduate studies at Nelson Mandela University at age 15, demonstrating the intellectual prowess that would later reshape how organizations approach AI and data-driven decision making.

At Google, Kozyrkov’s impact extended far beyond traditional data science roles. During her nearly decade-long tenure, she witnessed the birth of transformers (the “T” in ChatGPT) from the epicenter of AI development. Her influence on Google’s culture became legendary – no matter how big the auditorium, Google had to use lotteries to manage the demand to participate in one of her live workshops.

Currently, Kozyrkov is CEO of Data Scientific and works as a sought-after AI advisor with senior leaders at organizations like Lenovo, NASA, and Gucci. She also serves on the Innovation Advisory Council of the Federal Reserve Bank of New York and is an investor in emerging product companies.

Educational Foundation

Kozyrkov’s interdisciplinary approach stems from her diverse educational background. She began studies in economics and mathematical statistics at Nelson Mandela University at age fifteen, then transferred to the University of Chicago to complete her undergraduate degree. After graduation, she worked as a research assistant at the University of Chicago Center for Cognitive and Social Neuroscience, then enrolled in graduate studies at Duke University in psychology and cognitive neuroscience with a focus on neuroeconomics.

Duke University honored her as a 2024 inductee to the Few-Glasson Alumni Society, recognizing graduate school alumni who have distinguished themselves through career accomplishments. Her academic credentials include degrees from the University of Chicago (Economics), North Carolina State University (Mathematical Statistics), and Duke University (Psychology and Neuroscience).

Thought Leadership and Global Impact

Kozyrkov has delighted live audiences in more than 40 countries and on all seven continents, including stages at the United Nations, World Economic Forum, Web Summit, and SXSW. She has appeared on the cover of Forbes AI and been featured in Harvard Business Review, Fortune, Fast Company, WIRED, Success, and Entrepreneur.

Her writing has established her as a premier voice in AI education. Her online courses and more than 200+ published articles have reached millions and cemented her position as a LinkedIn Top Voice and the #1 Writer in AI on Medium for many years. She is followed by over half a million tech professionals.

What Women in the Field Can Learn from Cassie Kozyrkov

1. Start with Interdisciplinary Thinking

Kozyrkov’s success stems from combining technical expertise with insights from psychology, economics, and neuroscience. Women entering the field should consider how complementary disciplines can strengthen their AI and data science capabilities. Her approach shows that the most impactful innovations often happen at the intersection of multiple fields.

2. Focus on Communication and Education

Rather than keeping technical knowledge within expert circles, Kozyrkov has built her career on making complex concepts accessible. She demonstrates that technical excellence paired with exceptional communication skills creates exponential impact. Women can follow her example by developing both deep technical skills and the ability to explain complex ideas simply.

3. Create Your Own Path

Kozyrkov didn’t just fill existing roles – she created entirely new ones. As Google’s first Chief Decision Scientist, she established the field of Decision Intelligence. This shows women that they can define new areas of expertise rather than fitting into predetermined categories.

4. Scale Through Teaching and Mentorship

By training over 20,000 Googlers, Kozyrkov multiplied her impact far beyond what she could accomplish individually. Women in the field can amplify their influence by sharing knowledge and developing others, creating lasting change in organizational cultures.

5. Balance Technical Depth with Business Impact

Kozyrkov’s work demonstrates how to bridge the gap between technical capabilities and business outcomes. She shows that understanding decision-making processes is as crucial as mastering algorithms. Women can enhance their career prospects by developing both technical skills and business acumen.

6. Build a Strong Public Presence

Through her writing, speaking, and thought leadership, Kozyrkov has become a recognizable voice in AI. Her public presence has opened doors to advisory roles and speaking opportunities. Women can follow her example by sharing their expertise through writing, speaking, and social media engagement.

7. Embrace the Role of Educator

Kozyrkov’s approach to democratizing AI shows how women can create positive change by making technology more accessible. Rather than viewing non-technical colleagues as obstacles, she sees them as opportunities to expand AI’s positive impact.

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Legacy and Continuing Impact

Cassie Kozyrkov represents a new model of leadership in AI – one that combines technical excellence with exceptional communication skills, interdisciplinary thinking, and a commitment to democratizing complex technologies. Her work demonstrates that the most significant contributions to AI and data science often come not from developing new algorithms, but from helping others understand and effectively implement existing ones.

For women in machine learning, Kozyrkov’s career path offers a blueprint for creating substantial impact while building a distinctive professional identity. Her success shows that technical expertise, when combined with strong communication skills and a commitment to education, can create opportunities that extend far beyond traditional technical roles.