Peter Schnatz
About Peter Schnatz
Peter Schnatz is a Senior Data Scientist with a strong background in physics and extensive experience in data science roles across various organizations. He currently works at Hinge and has previously held positions at Stony Brook University, Whip Media, Nielsen, and Brookhaven National Laboratory.
Work at Hinge
Peter Schnatz has been employed at Hinge as a Senior Data Scientist since 2023. In this role, he leverages his expertise in data science to enhance the company's analytical capabilities. His work focuses on developing data-driven strategies that contribute to the overall user experience on the platform.
Education and Expertise
Peter Schnatz holds a Doctor of Philosophy (PhD) and a Master of Philosophy (MPhil) in Physics from The Graduate Center, City University of New York. He also earned a Bachelor of Science (BS) in Physics, Cum Laude, from Stony Brook University. His academic background provides a strong foundation in both experimental and theoretical physics, which informs his work in data science.
Previous Experience
Prior to his current position at Hinge, Peter Schnatz worked in various roles within the data science field. He served as a Senior Data Scientist at Whip Media from 2021 to 2023 and at Nielsen from 2020 to 2021. He also held a position as a Postdoctoral Researcher at The City College of New York from 2018 to 2019 and worked as a Research Scientist and Adjunct Lecturer at the College of Staten Island, City University of New York from 2013 to 2014.
Research and Development Contributions
Peter Schnatz has a history of contributing to innovative research and development projects. He has collaborated with professionals in diverse fields, including defense science and medical sensing. His work has involved developing new methods and technologies to address challenges in science, medicine, and military applications. He has also contributed to patent applications through his research efforts.
Technical Skills and Projects
Peter Schnatz is skilled in developing Python packages that facilitate the rapid organization and analysis of research results. His technical expertise extends to areas such as protein design, biosensing, and nanotechnology. He has experience in curating and managing team action plans that lead to application-driven science and new product development.