Python Developer (with German)

• Analyzing, validating, and optimizing engineering formulas extracted from Excel.
• Ensuring numerical accuracy, stability, and convergence of iterative algorithms.
• Identifying bottlenecks, inconsistencies, and required improvements in existing loc.
• Comparing results against reference Excel models and refining calculations.
• Collaborating with backend developers to implement precise algorithmic workflow.
• Proposing simplification or optimization strategies to improve performance.
• Documenting mathematical assumptions, validation criteria, and algorithmic requirements.

• Experience as a Python Developer for 4+ years.
• Experience validating complex engineering calculations.
• Strong mathematical background.
• Detail-oriented, analytical mindset with high precision standards.
• Ability to communicate complex mathematical logic to software engineers.
• Familiarity with the Python scientific stack (NumPy, SciPy, Pandas.
• Level of English – from Advanced and above.
• Level of German – from Upper-Intermediate and above.

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• English courses.
• Private health insurance and compensation for sports activities.

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