Your mission In our AI & Data Analytics-Quality team we are seeking a highly skilled Statistical Industrial Data Analyst Expert to join our dynamic team focused on knowledge extraction of production processes data to enhancing our product quality through advanced statistical analytics to make decision based on data. The ideal candidate will possess a strong background in statistical analysis, data visualization modeling applied to industrial data from production lines. This role is crucial for driving predictive analytics strategies, improving process engineering efficiencies, and ensuring high-quality outputs across our manufacturing operations. Your expertise will ensure the reliability, scalability, efficiency and extracting knowledge from our data infrastructure.
Utilizing advanced statistical/ mathematical methods to analyze large datasets (senor and time series data) from cell production lines to increase OEE and
Developing regression/predictive/hypothesis testing models for process optimization, equipment maintenance to minimize downtime and maximize operational efficiency
Identifying patterns, trends, and anomalies in production data to optimize operational process parameters and enhance product quality by addressing production buttle necks
Conducting root cause analysis of production issues and recommend corrective actions based on data insights
Taking the ownership of analytics use cases and collaborating with cross-functional teams to implement data-driven solutions
Identifying potential statistical analytics use case for improving battery cell production procedures
Designing and executing experiments to validate hypotheses and improve understanding of production processes
Leading and developing analytics dashboards based on top technologies and our production requirements to bring results into daily life of our engineers
Provide presentation to communicate findings and recommendations to stakeholders
Support students and interns to grow their knowledge and career in the world of Data and Analytics
Your profile
Master or PHD’s degree in Computer Science, Statistics/Mathematics/ Industrial Engineering or a related field
Proven experience (>5 years) in industrial data analytics, preferably within a manufacturing or production environment
Proficiency in statistical analysis packages in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, Keras), and data visualization tools (Power Bi)
Strong understanding of industrial processes, manufacturing principles, and quality control methodologies
Ability to interpret complex data sets and generate actionable insights to drive process improvements
Experience with data preprocessing, feature engineering, and model evaluation techniques
Excellent problem-solving skills and the ability to work both independently and collaboratively in a team-oriented environment
Effective communication skills with the ability to translate technical findings into business recommendations
Very good English and German language skills, both written and spoken
Why us? The Cellforce Group offers you a dynamic working environment with highly exciting and forward-looking projects. You can expect a highly motivated team with a large individual area of responsibility with extensive learning and development opportunities.