Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
About the role
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist in AI SaaS integrating 100+ systems for a European unicorn - in - the - making. Ensure scalability, security, and performance in a high - growth environment.
Data Science Intern working on AI - driven recipe and hardware optimization problems in semiconductor processes. Developing machine learning models and collaborating with engineering teams for innovative solutions.
Senior Data Scientist at LexisNexis developing AI - driven solutions for legal analytics. Collaborating with teams to implement machine learning models and monitor performance metrics.
Product Analyst for a leading media tech company managing SEO - friendly content and commercial campaigns. Collaborate with teams for digital content production and user engagement analysis.
Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
Data Scientist at BBVA AI Factory focusing on AI solutions in finance. Collaborate to develop AI - driven customer relationship models and analytics to enhance banking processes.
Data Scientist specialized in Machine Learning and Generative AI at BBVA AI Factory. Collaborating with experts to deliver innovative AI solutions for the banking industry.
Senior Data Scientist focusing on developing generative AI solutions for financial applications at BBVA. Involved in evaluating models, developing analytical solutions, and iterative experimentation processes.
Data Scientist Analyst at BBVA transforming complex data into strategic solutions using machine learning. Collaborating within Banking Ops team to improve operational efficiency and customer experience.