Data Scientist (all genders welcome) with focus on Data Engineering

Location: Lingen

Data Scientist (all genders welcome) with focus on Data Engineering

Data science means extracting knowledge from data. We achieve this by using the latest tools from the areas of big data, high performance computing and artificial intelligence, especially deep learning. Our solutions in the area of predictive analytics enable the safe operation of critical infrastructures. An agile way of working, technological expertise, modern technology stacks and an innovative working environment enable us to master the greatest challenges. You will become part of our self‑organizing teams with flat hierarchies in which an exchange of knowledge with colleagues from different departments is inherent. We have the highest demands on ourselves to learn new things and perfect old things – in this way we are prepared for the future.

Responsibility

• Development and optimization of data pipelines for processing large amounts of data (interface between data science and data engineering)
• Cleaning, transforming and storing data for analyses and machine learning models
• Optimizing the data architecture for performance and scalability
• Automation and documentation of data processes
• Development of machine learning models and their integration into existing systems
• Development of algorithms for the detection and classification of objects from data measured by our pipeline inspection devices
• Provision of algorithms and intelligent services in the form of minimum viable products with a focus on customer experience
• Interdisciplinary collaboration in integrating the algorithms into our software applications
• Co-design and use of technological trends, for example in the areas of artificial intelligence, high performance computing, data persistence and processing, as well as big data solutions

What you will bring

• Degree or doctorate in information technology, physics, mathematics, computer science or a comparable field of study
• Experience with data engineering technologies such as SQL and cloud platforms (e.g. AWS, Azure)
• Solid knowledge of object‑oriented programming, especially excellent skills in Python; knowledge of other languages such as C or C++ is an advantage
• Experience with databases (SQL, NoSQL) and ETL processes
• Knowledge of machine learning and model deployment
• Methodological skills in the field of data mining and machine learning, especially supervised and unsupervised learning
• Basic knowledge of non‑destructive testing using ultrasound as well as experience in the subject areas of explainable artificial intelligence, MLOps, DevOps and applied statistics desirable
• Experience in software engineering is an advantage
• Analytical thinking, ability to work in a team and a solution‑oriented way of working
• Good written and spoken English language skills

What we offer

• Development opportunities and career opportunities in a global, innovative and long‑term oriented group of companies with family character
• Flexible working time and Home Office possible
• An open, informal corporate culture, where we celebrate success with social events
• Compatibility of work and family through our company‑owned bilingual day care center ROKIDS as well as our bilingual elementary school ROBIGS (optional: day care during the holiday)
• Employer funded pension and capital accumulation benefits
• Company Restaurant (only in Lingen) and fresh fruit is available daily
• Various in‑house sports activities (EGYM Wellpass and other offers)
• Attractive leasing offers for IT‑products and bikes for private use
• Corporate Benefits – employee offers in changing online shops at top conditions