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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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