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

ZipRecruiter; Baden-Baden; Vor Ort; EUR 55.000 - 95.000; Vollzeit

Zusammenfassung

A dynamic and impactful role awaits you at a leading company in the recycling industry, looking for a Data Scientist. In this permanent position, you will advance AI/ML integration, enhance material analysis through innovative sensor data applications, and work in a collaborative, innovative environment. Join a high-performance team where you can make a substantial impact on sustainability through cutting-edge technology.

Leistungen

Flexible work arrangements

Competitive salary package

Opportunities for continuous learning and professional training

Comprehensive company benefits like a job bike scheme

Qualifikationen

• 3+ years in machine learning and data science applications.
• Experience in processing industrial sensor data and image data.
• Fluency in English, German as a plus.

Aufgaben

• Develop and integrate AI/ML models for product enhancements.
• Monitor and optimize deployed models for efficiency.
• Collaborate with software developers and domain experts.

Kenntnisse

Python

Machine Learning

Data Analysis

Computer Vision

Data Management

Statistical Methods

Ausbildung

Degree in Data Science, Computer Science, Statistics, Physics, or Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

Jobbeschreibung

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.