Data Scientist - Digital Solutions (m/f/d)

Job Description

To strengthen our Digital Solutions team at our headquarter in Altshausen, Germany, we are currently looking for a:

Data Scientist – Digital Solutions (m/f/d) - Full-Time, Permanent –

Your Mission:

• Develop and Integrate Advanced AI/ML Models: Spearhead the further development and integration of ma-chine learning algorithms and AI models within our STADLER’s Digital Product portfolio.
• Sensor Data Analysis & Model Building:

-Work with image sensor data to enhance material analysis capabilities.

-Design, train, and implement machine learning models for machine- and material-related time series data for our STADLERconnect modules.

• Computer Vision for Industrial Automation: Develop and refine image AI models for innovative products.
• Deployment on Cloud and Edge: Ensure models are robust and efficient for deployment in both our cloud en-vironment and on STADLERconnect edge devices, considering the specific constraints and requirements of each.
• Research & Innovation: Stay abreast of the latest advancements in data science, machine learning, AI, and relevant sensor technologies to identify and propose new opportunities for product enhancement and innova-tion.
• Collaboration: Work closely with our full-stack software developers, product owners, and domain experts to understand requirements, integrate models into production systems, and ensure solutions meet customer needs and industry standards.
• Data Management & Preparation: Develop and implement strategies for data acquisition, preprocessing, augmentation, and quality control to ensure high-quality datasets for model development and validation.
• Performance Monitoring & Optimization: Continuously monitor, evaluate, and optimize the performance of de-ployed models, ensuring their accuracy, reliability, and efficiency.

Your Profile:

• Education & Experience:

-Strong educational foundation in a quantitative field, including but not limited to in Data Science, Computer Science, Statistics, Physics, or Engineering, or equivalent practical experience.

-Proven experience (ideally 3+ years) in applying data science, machine learning, and AI techniques to solve complex real-world problems, preferably in an industrial or technology-driven environment.

• Technical Skills:

-Strong programming skills in Python, including experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy)

-Demonstrable experience in developing and deploying machine learning models, including deep learning, for tasks such as image recognition/computer vision and time series analysis.

-Experience with processing and analyzing data from various sensors; experience with industrial sen-sor data as well as image data (e.g., RGB images) is a plus.

-Knowledge of MLOps practices, including model versioning, deployment strategies (cloud and edge), and monitoring.

-Familiarity with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes) is an advantage.

-Solid understanding of statistical methods, data mining techniques, and experimental design.

• Additional Skills:

-Strong analytical and problem-solving abilities with a creative and innovative mindset.

-Excellent communication skills, with the ability to explain complex technical concepts to diverse audi-ences.

-Ability to work independently and manage projects in a fast-paced, agile environment.

-A collaborative team player eager to contribute to a multidisciplinary team.

-Fluent in English; German is a significant plus.

Why Join Us:

• A dynamic and impactful role in an innovative and high-performance team, shaping the future of a forward-thinking company in the recycling industry.
• A permanent employment contract, flexible work arrangements, and a supportive team environment that fos-ters creativity and growth.
• A competitive salary package.
• Opportunities for continuous learning, professional training, certification, and career development in the rapid-ly evolving field of AI and Data Science.
• A modern work environment with ergonomic workstations and access to state-of-the-art technology and tools.
• Comprehensive company benefits such as a job bike scheme, canteen, and company health and sports activi-ties.
• A chance to make a real impact at scale by developing intelligent solutions that enhance sustainability and ef-ficiency in the recycling sector.