Data Scientist

Leads the design and implementation of advanced analytics for Manufacturing, and Supply Chain including process improvement, simulations, and statistical modeling. Develops and manages the roadmap for scaling and delivering data analytics while coordinating with various teams. Oversees process monitoring and improvement with data analytics teams, utilizing tools like descriptive statistics and process control. Manages reporting tasks, including automated reports and stability analysis, in collaboration with internal teams. Identifies and reviews data analytics opportunities with IT and stakeholders, offering short- and medium-term recommendations. Drives the company digital  strategy focusing on technology and innovation, such as productivity analysis and KPI tracking. Builds and manages a global, functional, and local data analytics community.

Experience with Digital/Big Data Analytics, Artificial Intelligence, and Machine Learning; knowledge of Signal Processing, Control Systems, and Mechatronics; strong understanding of Statistical Process Control; experience with Machine Learning algorithms (e.g., CNN, SVM, LSTM); proficiency in MATLAB, Python, or R, with additional skills in C++ and SQL being a plus; experience with quality mapping of parameters; expertise in Bayesian statistics and density estimation; solid understanding of Bayesian Hypothesis Testing, ANOVA, and forecasting techniques (e.g., ARIMA, ARMA, NARX); and experience in Biostatistics, stochastic modeling, and decision trees