IT Data Scientist

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Nemak is dedicated to developing technological solutions that make
sustainable mobility possible.
We are committed to
working together
across disciplines to drive
innovation
and to shape the future of
automotive
light weighting.

• Analysis of large amounts of data from production, logistics, and administration
• Development and implementation of machine learning and AI models for process optimization
• Establishment and maintenance of data pipelines and ensuring data quality
• Creation of dashboards, reports, and forecasting models for management
• Support for digitization projects, e.g., predictive maintenance, quality analysis, or energy efficiency
• Close cooperation with specialist departments (production, controlling, IT) to identify relevant use cases
• Collaboration on global Nemak digitization initiatives

• Degree in computer science, data science, mathematics, statistics, or comparable qualification
• Initial professional experience in data analytics/data science, ideally in an industrial environment
• In-depth knowledge of Python, R, or comparable programming languages
• Experience with databases (SQL, No
  
  SQL) and big data technologies (e.g., Hadoop, Spark)
• Knowledge of machine learning frameworks (Tensor Flow, Scikit-learn, PyTorch) is an advantage
• Confident use of visualization tools (e.g., Power BI, Tableau)
• Very good analytical skills, structured approach to work, and strong communication skills
• German and English fluent

At Nemak, Diversity, Equityand Inclusion (D&I) play a fundamental role in everything we doand are the underlying platform on whichourculture isbuilt. We foster a culture that is safe, respectful, fair and inclusive for all of our employees and job applicants. Our value proposition relies on innovation and cross-cultural teamwork, which is only possible when we strive for belonging and commitment to Diversity, Equity and Inclusion.

We understand the impactequalityand of varied perspectives that welcome better ideas to solve complex problems for improvement and transformation.

We are proud to have bias-free conditions of employment, including recruiting, hiring, placement, and promotions, and we welcome all our employees and job applicants. We strongly prohibit any form of workplace harassment or discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.