Niklas Koep

Niklas Koep

Senior Data Scientist @ DeliveryHero

About Niklas Koep

Niklas Koep is a Senior Data Scientist at Delivery Hero with a strong background in electrical engineering, data science, and applied mathematics.

Title and Current Role

Niklas Koep is a Senior Data Scientist currently working at Delivery Hero. He began his role in April 2022 and brings an extensive background in data science and software engineering to the company.

Experience at Delivery Hero

Niklas Koep has been with Delivery Hero since 2021. Initially, he worked as a Data Scientist for a year before being promoted to his current role as Senior Data Scientist. His tenure at Delivery Hero showcases his continued contributions and expertise in the data science field.

Academic Background and Research

Niklas Koep attended RWTH Aachen University where he pursued an extensive educational trajectory. He obtained a Bachelor’s Degree in Electrical Engineering, Information Technology, and Computer Engineering in 2010, followed by a Master’s Degree in the same disciplines in 2013. He culminated his studies with a Doctor of Engineering (Dr.-Ing.) degree in Electrical Engineering and Information Technology in 2019. In addition to his academic achievements, he served as a Research Assistant at RWTH Aachen University's Institute for Theoretical Information Technology for five years, as well as at the Institute of Communication Systems and Data Processing for five months in 2014.

Professional Experience

Beyond academia, Niklas Koep gained valuable industry experience. He worked as a Research Engineer at HEAD acoustics GmbH in Herzogenrath for six months from 2012 to 2013. This role allowed him to apply his technical expertise in a practical setting, further complementing his strong foundation in theoretical and applied mathematics, electrical engineering, and data science.

Skills and Passion

Niklas Koep has a robust background in applied mathematics that enhances his work in electrical engineering and data science. He also has a keen interest in software engineering, machine learning, and data science, which he has incorporated into his various academic and professional roles. This diverse skill set allows him to approach problems with a well-rounded and innovative perspective.

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