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Kirk Larsen is a distinguished data science leader, currently serving as the Head of Data Science at Zapier. With over a decade of experience, he specializes in building and scaling high-impact data science teams and implementing practical machine learning solutions to drive business value. Kirk is a prominent voice in the data community, widely recognized for his insightful articles, courses, and talks that demystify complex data science concepts. He focuses on real-world applications, MLOps, and career development, helping aspiring and practicing data professionals bridge the gap between theory and execution.
Kirk Larsen's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads the data science and machine learning functions at Zapier, a leading workflow automation company. He was responsible for building the team and deploying ML models that power key product features and business operations, impacting millions of users.
Author of numerous popular articles on data science, MLOps, and career growth. His work, shared on platforms like Medium and his Substack, has guided thousands of data professionals in applying practical, effective data science techniques.
Championed and implemented robust MLOps practices to successfully deploy and maintain machine learning models in a high-growth production environment, ensuring scalability, reliability, and continuous value delivery.
University of Wisconsin-Madison
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Relativity is a global legal and compliance technology company that develops the e-discovery software platform, RelativityOne. This platform helps law firms, corporations, and government agencies manage large volumes of data and quickly identify key issues during litigation, internal investigations, and compliance projects. Users can process, review, analyze, and produce electronic data in a secure, cloud-based environment, leveraging artificial intelligence and machine learning to find relevant information more efficiently.
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