Summary
Mark Paluta is a Senior Data Scientist based in Seattle with a decade of experience applying machine learning, business analytics, and operations research to drive product and operational decisions. He has progressed from aerospace engineering roles at Boeing to research scientist positions and now leads data science work at Atlassian, combining rigorous experimental design with production predictive modeling and deployment. Trained at Stanford and UC Berkeley’s MIDS program, he blends academic research—reinforcement learning and experimental acoustics—with practical metrics, data modeling, and experimentation at scale. Known for navigating both research and engineering domains, he often translates complex algorithms into measurable business impact across logistics and software platforms.
10 years of coding experience
5 years of employment as a software developer
Study Abroad, Study Abroad at Tsinghua University
Bachelor’s Degree, Aerospace Engineering, Bachelor’s Degree, Aerospace Engineering at University of Notre Dame
Universitat Politècnica de València
Master of Information and Data Science (MIDS), Master of Information and Data Science (MIDS) at UC Berkeley School of Information
Master’s Degree, Aeronautics and Astronautics, Master’s Degree, Aeronautics and Astronautics at Stanford University