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

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Rosen

28d ago

  • Job
    Full-time
    Mid & Senior Level
  • Science
    Data
  • Lingen

AI generated summary

  • You should have a degree in IT or related fields, experience with SQL and cloud platforms, knowledge of programming, databases, ETL, machine learning, and good English skills.
  • You will develop and optimize data pipelines, clean and store data, automate processes, create machine learning models, and collaborate on integrating algorithms into software applications.

Requirements

  • 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 at least one object-oriented programming language (e.g. Python, C/C++)
  • 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 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

Responsibilities

  • 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

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.

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Rosen

empowered by technology

Technology
Industry
1001-5000
Employees
1981
Founded Year

Mission & Purpose

The ROSEN Group is a globally leading provider of cutting-edge solutions in all areas of the integrity process chain. The business is privately owned and employs a team of almost 4,000 workers, operating in more than 120 countries. “Empowered by technology” is the promise that ROSEN systematically delivers on by enhancing the operations of our customers and making them safe, cost-effective and more efficient. ROSEN offers the know-how and technology to ensure that customers comply with legal standards and safeguard people and environment, while gaining maximum profit from assets as diverse as pipelines, tanks, vessels, wind turbines, trains, and telecommunication towers. ROSEN’s products and services: • Inspection of critical industrial assets to ensure reliable operations of the highest standards and effectiveness • Customized engineering consultancy providing efficient asset integrity management • Production and supply of customized novel systems and products • Market-driven, topical state-of-the-art research and development providing “added value” products and services

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