AP
Senior Data Scientist
Anton Paar GmbH
Graz · On-site Senior 2d ago
About the role
Location
Österreich : Graz
About
We seek a Senior Data Scientist focused on diffraction and small-angle X-ray scattering (SAXS) data analysis. You’ll leverage Python to develop algorithms and analyze complex scattering data, contributing to material characterization advancements.
Responsibilities
- Diffraction and SAXS Data Analysis: Interpret data to extract insights on material properties like structure and morphology
- Algorithm Prototyping in Python: Develop, test, and optimize algorithms for SAXS data processing
- Advanced Statistical Modeling: Use statistical and machine learning techniques for signal extraction and pattern recognition
- Data Processing Optimization: Improve processes for noise reduction and peak detection.
- Simulation and Predictive Modeling: Create models to simulate scattering data and predict material behaviors
- Trend Analysis: Identify patterns in data to inform material properties and experimental design.
- Results Documentation: Present findings and recommendations clearly to guide material characterization
Requirements
- Degree in physics, chemistry, material science, statistics, or related field
- Experience in data analysis and algorithm for diffraction and scattering techniques, including SAXS
- Python Prototyping: Advanced Python skills for algorithm development
- Analytical Problem-Solving: Solution-oriented approach to diffraction and SAXS data
- Data Libraries: Familiarity with NumPy, SciPy, and Pandas for data handling
- Machine Learning and AI for pattern recognition and predictive modeling
- Material Science Knowledge (beneficial): Understanding of structural properties influencing diffraction
- Strong Communication: Ability to present complex findings clearly
- Self-driven with a focus on project execution
We offer you
- A reliable and long-term workplace in our expanding and international high‑tech company
- An innovative company culture that promotes technical excellence guaranteeing us the position of a technological leader in the global market
- A value‑oriented working environment that fosters friendly, supportive cooperation between colleagues and, at the same time, provides room for involvement, dedication and individual responsibility
- Individual training and onboarding
- Work Outside Office (occasion‑related possibility to work outside the office)
- Professional and personal development
- Applications via personnel service providers will not be processed. As a matter of principle, we also do not hire temporary workers, but build on long‑term, direct employment relationships.
Tags
#GreatPeople|GreatInstruments #since1922 #AntonPaar #LI-SPI
Requirements
- Degree in physics, chemistry, material science, statistics, or related field
- Experience in data analysis and algorithm for diffraction and scattering techniques, including SAXS
- Advanced Python skills for algorithm development
- Solution-oriented approach to diffraction and SAXS data
- Familiarity with NumPy, SciPy, and Pandas for data handling
- Machine Learning and AI for pattern recognition and predictive modeling
- Strong Communication: Ability to present complex findings clearly
- Self-driven with a focus on project execution
Responsibilities
- Interpret data to extract insights on material properties like structure and morphology
- Develop, test, and optimize algorithms for SAXS data processing
- Use statistical and machine learning techniques for signal extraction and pattern recognition
- Improve processes for noise reduction and peak detection
- Create models to simulate scattering data and predict material behaviors
- Identify patterns in data to inform material properties and experimental design
- Present findings and recommendations clearly to guide material characterization
Benefits
Individual trainingonboarding
Skills
AIData analysisMachine LearningNumPyPandasPythonSciPyStatistical modeling
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