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 leveraging machine learning to develop personalized customer experiences at Capital One. Collaborating with cross - functional teams using advanced technologies across billions of customer records.
Data Scientist focusing on model risk management at Capital One, leveraging advanced technologies for data - driven decision - making. Collaborating with diverse teams on risk identification and mitigation strategies.
Associate Data Scientist leveraging data, AI, and analytics to support decision - making at Instructure. Collaborating with teams to uncover insights and drive better learning experiences.
Intern in Data Science at BMW Group working on data analysis and machine learning models for supply chain improvements. Collaborating with experts to develop innovative solutions using AI.
Working student in Data Science supporting the development of advanced methods at BMW Group. Involves dashboard creation, data analysis, and cross - department collaboration.
AI Engineering leader tasked with implementing Gen AI solutions for Hyatt. Collaborating cross - functionally to innovate and enhance the guest experience through data - driven decisions.
Senior Data Scientist leading advanced data modeling initiatives to automate and transform processes at Farmers. Collaborating with business leaders to deliver AI/ML solutions that enhance efficiency and decision - making.
Leads Data & IA teams at Sicredi to enhance the analytical culture and drive value generation. Collaborates with various teams to implement effective data science practices.
Data Scientist at Instructure using data to improve learning outcomes through analytics. Collaborating cross - functionally to drive insights for product strategy and growth initiatives.
Data Science & Analytics Intern developing data - driven insights and models for business stakeholders. Supporting technical model development and business analytics in Financial Planning and Analysis.