 Identify optimization opportunities along every step of the adaptation process.
Data Analysis & Statistical Evaluation
 Use Python for exploratory data analysis, automation tasks, and algorithm evaluation.
 Develops/implements systems to perform basic evaluation of adaptation artifacts
according to state-of-the-art quality standards:

 Documentation
 Version control
 Build system
 Code quality
 Apply statistical methods to improve adaptation quality.
 Build and optimize data pipelines and notebooks in Databricks to analyze large volumes
of banknote data.
 Identify patterns, anomalies, and insights to support continuous improvement.
Collaboration & Documentation
 Collaborate with algorithm development, product management, customer service, and
field engineers.
 Communicates with colleagues inside the Adaptation group to leverage optimization
and automation opportunities.
 Prepare documentation, reports, and presentations for internal and customer-facing
workshops.
 Support complex customer adaptation projects worldwide.
 Identify own personal and professional development needs.
Your Profile
Required Qualifications
 Degree in Computer Science, Electrical Engineering, Mathematics, Data Science, Physics,
or related field.
 Solid foundation in statistics, data analysis, and analytical problem-solving.
 Hands-on experience with Python (pandas, numpy, matplotlib, Jupyter).
 Experience working with Databricks, PySpark, or similar data platforms.
 In-depth understanding of state-of-the-art software development practices (linting,
code style, version control systems).
 Ability to understand and work with algorithms and signal/data processing workflows.
 Very good English skills; German is a plus.

experience

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