Data Scientist developing data-driven software solutions for AIXTRON's deposition systems. Analyzing complex data, implementing predictive models, and collaborating with data engineering teams.
Responsibilities
Analyze and prepare complex data from various sources to derive actionable insights.
Work closely with domain experts to understand requirements and develop data-driven solutions.
Develop and implement models for predictive maintenance, time series analysis, and anomaly detection.
Collaborate with the data engineering team to generate new insights from structured and unstructured data.
Present and visualize results and models effectively, e.g., using Plotly Dash.
Take responsibility for deploying your solutions to production environments.
Ensure deployed models are monitored, maintained, and updated throughout their lifecycle.
Actively contribute to continuously improving and keeping our ML solutions up to date.
Requirements
Degree in Data Science, Computer Science, Mathematics, Physics, or a comparable field.
Strong experience in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn).
Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
Experience with CI/CD, containerization (Docker/Podman), and REST APIs or similar interfaces.
Comfortable working in Windows and Linux environments.
Knowledge of data visualization (e.g., Plotly Dash) and handling large datasets.
Understanding of deployment, monitoring, and lifecycle management of ML solutions.
Creativity, the ability to work independently, and strong problem-solving skills.
No fear of large datasets — even though we do not operate a classical big-data setup.
Knowledge of the semiconductor industry is a plus but not required.
Benefits
Flexible working hours: You can arrange your working hours flexibly without fixed core hours, work remotely, and switch between the office and mobile working.
Health: We support your physical and mental well-being through regular health initiatives.
Development: We prioritize your continuous development — through our AIXTRON Academy or individualized support programs.
Corporate Benefits: You benefit from exclusive discounts with numerous partners as part of our Corporate Benefits program.
Open corporate culture: We maintain an open and respectful “du” (informal first-name) culture across all hierarchy levels.
Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.
Data and Analytics Manager defining strategies for a digital transportation company connecting freight and truckers in Brazil. Leading initiatives to maximize data value and promote a culture of data - driven decision - making.
Mid - Level Data Scientist leveraging data science techniques for USAA's financial security solutions. Collaborating with various teams to develop advanced analytics and model deployment practices.