Data Analyst (W/M)

Expected, Phyton, Tableau

Operating system, Linux

Your responsibilities, Development of machine learning algorithms for parts deviation prediction and anomaly detection,, Independent execution of projects with regular reporting,, Participation in management of interdisciplinary teams and execution of project tasks,, Close cooperation with different teams and sharing of methods and best practices,, Cooperation and regular technical reporting to MTU Munich, Germany.

Bachelor’s or Master’s degree in Data Science, Mechanical Engineering or equivalent qualification,, Strong knowledge of Python, including NumPy, pandas and scikit-learn,, Familiarity with tools such as PyCharm, Tableau, Git and Linux,, Experience in statistics and machine learning, data collection (ETL) and database management (SQL), preferably for shop floor data,, Basic understanding of manufacturing processes will be an advantage,, Ability to read and interpret technical documentation,, Openness to qualification training in Munich,, Strong communication skills and ability to work with a diverse, virtual team,, Ability to work independently in an international environment,, Very good written and spoken English, German is a plus,

What we offer, Work in an international environment with access to global expertise and best practices in the aviation industry, Annual and long-term bonus scheme, An organizational culture based on trust, collaboration, and mutual support, Stable employment in a well-established company. The first employment contract is offered for a minimum of 12 months, Training from day one and clear opportunities for professional development, including financial support for foreign language courses and further education, Access to an e-learning platform with a wide range of training courses, Private medical care with the option to extend coverage to family members, as well as access to health programs and psychological support for you and your loved ones, Group life and health insurance, Safe and comfortable working conditions in line with high occupational health and safety standards, Co‑financing of truly useful benefits, including a Medicover sport card, public transport, prescription glasses, and meals in the company cafeteria. Additionally - fresh fruit Wednesdays, An attractive calendar of company events - integration, sports, and social activities, The possibility to join company - sponsored sports clubs, Convenient on - site facilities - a bus stop located next to the company and a dedicated employee parking area.

Benefits, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, doctor’s duty hours in the office, sharing the commuting costs, employee referral program