Data Scientist | Data Scientist (m/w/d) Engineering
FERCHAU GmbH Niederlassung Mannheim
Job Summary
Join FERCHAU as a Data Scientist to connect people and technology, optimizing engineering processes within the automotive industry. You will analyze large datasets, develop data-driven methods for logistics and distribution, and build/maintain data models using Python and SQL. This role involves applying statistical analysis and machine learning for pattern recognition, extracting insights from diverse data, and presenting findings with tools like Power BI or Tableau. You will also develop automated workflows for continuous process improvement in an spare parts center. The position is ideal for individuals with a background in computer science or related fields, possessing strong Python and SQL skills, and experience with data analytics tools. If you're passionate about advancing technology and driving innovation, this is a great opportunity to develop your expertise through practical projects.
Required Skills
Education
Completed degree in Computer Science, Business Informatics, Business Administration, or a comparable field.
Experience
- Professional experience in data analysis and interpretation for process optimization in engineering environments.
- Experience in developing data-driven methods for logistics and distribution processes.
- Experience in creating, maintaining, and optimizing data models.
- Experience applying statistical analyses and machine learning techniques.
- Experience extracting relevant information from heterogeneous datasets.
- Experience deriving trends in operational processes using Data Analytics tools.
- Experience presenting analysis results and visualization for stakeholders.
- Experience developing automated workflows for continuous process improvement.
- Professional experience in logistics planning with a focus on warehouse and distribution processes is desirable.
- Experience with Big Data technologies like Spark or Hadoop is advantageous.
- Experience in modeling complex data structures and validating them through test scenarios.
Languages
Additional
- Not specified
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