Data Scientist

Quick Facts

• Role: Data Scientist

• Focus: End-to-end evaluation of spectral measurements and data quality

Description

Own the path from a measured sample to an answer you can trust—covering evaluation algorithms, the quality of the underlying data, and the design of measurements themselves. You will develop and benchmark methods for evaluating spectral data, ensure reproducible experiments with a clean measurement database, and plan and assess measurement campaigns and pilots. You may also perform measurements in the lab and at partner sites from time to time.

Responsibilities

• Develop and benchmark methods for evaluating spectral data

• Keep the measurement database clean and ensure experiments are reproducible

• Design measurement campaigns and pilots; evaluate and report results clearly

• Measure substances occasionally in the lab and at partner sites

Requirements

• Strong foundation in mathematics or physics

• At least 2 years of experience working with data, machine learning, or research (PhD counts)

• Strong Python and practical SQL

• Experimental design and honest validation

• Willingness to travel in Czechia and abroad; fluent English

Benefits

• Work with real data from your own instruments (not public datasets)

• Real-world impact: your work influences what the field device recognizes

• Own the whole chain from measurement to deployment in one role

• Small team with short decision paths

• Collaboration with law-enforcement agencies