Data Scientist / Chemometrician

SpectraFlow Analytics AG

Spreitenbach

Develop and optimize data-driven models for NIR sensors.

Details

Your Role at SpectraFlow Analytics

You will develop and optimize data-driven models for our NIR sensors, directly contributing to real-time analysis and process optimization in industrial applications.

Your Responsibilities

  • Develop and maintain calibration models for NIR and spectral data (e.g., multivariate regression / chemometric models)
  • Prepare, analyze, and interpret measurement and process data, including spectral preprocessing
  • Evaluate and continuously improve model performance and robustness
  • Visualize and communicate results to both technical and non-technical stakeholders
  • Collaborate closely with engineering teams and customer projects

Your Profile

Must-have

  • Master’s degree in data science, engineering, physics, chemistry, or a related quantitative field
  • Experience in data analysis and modelling (or MATLAB)
  • Solid foundation in statistics and multivariate analysis
  • Experience with NIR, spectral, or sensor data
  • Structured, independent, and solution-oriented way of working
  • Ability to communicate complex results clearly
  • Good English skills (B1–B2+)

Nice-to-have

  • Background in chemometrics or calibration methods
  • Basic knowledge of SQL / data management
  • Experience or interest in process analytics, mining, materials science, or chemistry
  • Basic German skills (A1) are a plus, or willingness to learn

Why SpectraFlow?

  • Work on real industrial applications with direct impact
  • Unique combination of high-tech sensor systems and data science
  • Small, specialized team with high ownership and flexibility.

Why SpectraFlow Analytics:

Our technology drives innovation and change within major cement and mining companies.
Diverse team with employees from around the globe e.g in India, Turkey, Saudi Arabia, Brazil and China.
Full-time position, located at our office in Spreitenbach, Aargau with negotiable home office time and flexible hours.
Performance-related salary in line with the market.
Future training opportunities for professional development.

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Posted here on 20/06/2026