Data Analyst (W/M)

MTU Aero Engines Polska Sp. z o.o.; Tajęcina; On-site; PLN 140,000 - 200,000; Full time

Benefits offered by this job

Międzynarodowe środowisko pracy

Bonus roczny i długoterminowy

Szkolenia i rozwój zawodowy

Job summary

MTU Aero Engines Polska Sp. z o.o. w Tajęcinie poszukuje specjalisty Data Science do opracowywania algorytmów ML dla przewidywania odchyłek części i wykrywania anomalii w danych produkcyjnych.

Oferujemy pracę w międzynarodowym środowisku, wsparcie rozwoju zawodowego, szkolenia językowe i bogaty zestaw benefitów. Doświadczenie w projektach związanych z przemysłem lotniczym mile widziane.

Qualifications

• Wymagany tytuł licencjacki lub magisterski z Data Science lub pokrewnych dziedzin.
• Silna znajomość Pythona i bibliotek (NumPy, pandas, scikit-learn).
• Znajomość narzędzi takich jak PyCharm, Tableau, Git i Linux.
• Doświadczenie w statystyce i uczeniu maszynowym, ETL oraz bazach danych SQL; najlepiej dla danych z produkcji.
• Dobra znajomość języka angielskiego; niemiecki będzie dodatkowym atutem.

Responsibilities

• Rozwój algorytmów ML do predykcji odchyłek i wykrywania anomalii.
• Samodzielne prowadzenie projektów i raportowanie postępów.
• Współpraca z zespołami interdyscyplinarnymi i przekazywanie metod oraz najlepszych praktyk.
• Ścisła kooperacja i raportowanie techniczne do MTU Munich, Niemcy.

Skills

Python

NumPy

pandas

scikit-learn

Education

Bachelor’s or Master’s degree in Data Science / Mechanical Engineering or equivalent

Tools

PyCharm

Tableau

Git

Linux

Job description

Nasze wymagania:

• 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,

Zakres obowiązków:

• 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.

Oferujemy:

• 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.