Data Scientist Spectroscopy (f/m/d)

SENORICS is a dynamic photonics startup based in Dresden, Germany. Our novel sensor technology is powerful and enables affordable miniaturized spectroscopy solutions. Our goal is to transform near-infrared spectroscopy from a lab technology into a widespread mass market tool.
We are looking for a motivated and experienced Data Scientist in the field of spectroscopy to join our research and development team.

We provide an inspiring atmosphere and the opportunity to work in a highly motivated and experienced startup-team.

• Planning, designing, organizing and executing NIR experiments, model developments, calibrations and final validations
• Developing simulations, data pre-processing routines, data cleaning scripts and predictive models
• Developing and applying multivariant machine learning models and AI
• Evaluating customer applications and performing feasibility studies with laboratory NIR-spectrometers and Senorics' hardware
• Summarizing and presenting model reports to team members and customers
• Supporting Senorics’ data strategy
• Supporting other processes and enhancing the existing data infrastructure
• Planning and coordinating resources and projects

• University degree (e.g. physics, chemistry or mathematics), preferably with PhD
• Experience in analytical chemistry, preferably spectroscopy
• More than 5 years of experience in data analysis in the field of machine learning and spectrometry
• Experience with multivariate analyses for the creation of NIR calibration models
• Knowledge in the areas of statistics, experimental errors, and quantification of scientific data.
• Software programming and scripting skills in Python
• Proficiency in MS Office
• Good communication skills, flexibility, analytical thinking
• Ability to work self-organized in a team
• Fluency English and German skills

An inspiring atmosphere where you have the opportunity to work in a highly motivated, experienced and supportive start-up team and gain exciting insights into our technology. With flexible working hours and flat hierarchies, you can design your tasks self-dependently and benefit from steep learning curves.

Our core values are trust, diversity, open and honest communication, appreciation and support for each other.