Position: Data and Research Scientist
Category: Data Science
English level: fluent
Years of experience: 10

Developed a flexible muon-reconstruction algorithm for a new detector in 2 weeks, which was flexible enough to operate in the changing environment of the experiment.
Optimised performance of detector-simulation algorithm by factor 200 eliminating the majority of calculations irrelevant for the final result.
Developed the data-acquisition system for calorimeter detector that will improve the quality of future hadron-therapy treatments.
Research scientist with 10 years of academic experience in experimental particle physics, including distributed statistical analysis of large datasets, development of complex reconstruction algorithms, work with scientific equipment, data acquisition systems, real-time data-quality monitoring, etc.
Member of several international collaborations, including CMS at the Large Hadron Collider (3K people). Always working in multicultural environment, both remotely and in presence. 
PhD in high-energy physics from the Hamburg University.
I am most interested in R&D projects that have challenging tasks, for which solutions are not obvious and require creative thinking, scientific approach and technical skills. 
I would prefer a hardware-related project in a product company, but perfectly open to other choices if the topic is innovative and interesting enough.
Some of the topics I find appealing include: automotive industry, robotics and automation, environmental monitoring, spatial technologies, IoT.
I am not interested in repetitive systematic tasks, such as raw data analytics for marketing or finances.