FAQs
What is the job title for this position?
The job title is Data Scientist (all genders welcome) with a focus on Data Engineering.
Where is the job located?
The job is located in Lingen (Ems) or Osnabrück.
What are the primary responsibilities of this role?
The primary responsibilities include developing and optimizing data pipelines, cleaning and transforming data, optimizing data architecture, automating and documenting data processes, developing machine learning models, and collaborating interdepartmentally to integrate algorithms into software applications.
What qualifications are required for this position?
A degree or doctorate in information technology, physics, mathematics, computer science, or a comparable field of study is required, along with experience in data engineering technologies and knowledge of programming languages, databases, and machine learning.
What technologies should candidates be familiar with?
Candidates should be familiar with SQL, cloud platforms (e.g., AWS, Azure), at least one object-oriented programming language (e.g., Python, C/C++), ETL processes, and ideally have experience in software engineering.
Is prior experience in data mining and machine learning necessary?
Yes, candidates should have methodological skills in data mining and machine learning, particularly in supervised and unsupervised learning.
What language skills are required for this position?
Good written and spoken English language skills are required.
Do we offer flexible working hours?
Yes, we offer flexible working hours and the possibility to work from home.
What development opportunities are available in this role?
We provide development opportunities and career paths in a global, innovative, and long-term oriented company.
Is there support for work-life balance?
Yes, we offer a company-owned bilingual day care center and an elementary school to support work and family compatibility.
What benefits do employees receive?
Employees receive employer-funded pension benefits, access to a company restaurant in Lingen, fresh fruit, various in-house sports activities, and attractive leasing offers for IT products and bikes for private use.