Data Scientist (m/w/d) mit guten Deutschkenntnissen IBM Deutschland GmbH
Anzeige vom: 02.03.2026

Data Scientist (m/w/d) mit guten Deutschkenntnissen

Standorte:
  • Northeim
  • , Magdeburg
  • , Frankfurt am Main
  • , Köln
  • , Oberzent
  • , München
IBM Deutschland GmbH

Zusammenfassung

  • Arbeitszeit
    Vollzeit
  • Typ
    Festanstellung
  • Qualifikationslevel
    B Studienberufe

Gewünschte Fähigkeiten & Kenntnisse

Machine Learning
Scala
Reason
Cloud
Progress
CAN
Open Source
Solid
Make
Java
NumPy
Entwicklungsumgebungen
MOST
Computer
Matlab
OpenShift
Security
SQL Azure
Edge
Programmiererfahrung
Compliance
REST
Planet
Origin
Scikit-learn
Mobile App
AWS
Python
SAS
Docker
Hybrid
TensorFlow
Analyse
Design Thinking
GIT
Debugging
Programmiersprachen
Support
DevOps
SPSS
Teamfähigkeit
Flexibilität

Stellenbeschreibung

Your role and responsibilities

As a Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyse, and understand data to deliver insights, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:

  • Analysis, preparation and management of complex data sources
  • Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning techniques in your projects
  • Writing programs to cleanse and integrate data in an efficient and reusable manner
  • Development of scalable and robust data and machine learning pipelines
  • Application of traditional machine learning algorithms as well as modern deep learning approaches (such as GenAI)
  • Implementation, integration and monitoring of AI / ML models
  • Working in an agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours
  • Documentation and communication with internal and external clients (e.g. business and IT departments) and stakeholders to understand and define business needs and appropriate modelling techniques to provide analytical solutions as well as presentation of proposed solutions and results.
  • Evaluating modelling results and communicating the results to technical and non-technical audiences.

Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise

  • Strong fundamentals in Mathematics and/or Computer Science (algorithms)
  • Solid knowledge in Data science and related tools and technologies, such as Python, SQL, Pandas, NumPy, Scikit-learn, Transformers
  • You're proficient at least one of the statistical programming languages such as R, Python, Scala or SAS, SPSS, Matlab.
  • You have a solid understanding of experience with predictive/prescriptive modelling skills
  • You have strong technical and analytical abilities, a knack for driving impact and growth, and experience with programming/scripting in a language such as Java or Python.
  • You're great at solving problems by looking at things differently, debugging, troubleshooting, and designing & implementing solutions to complex technical issues.
  • You thrive on teamwork and have excellent verbal and written communication skills.
  • Excellent verbal and written German language skills (C1 level)
  • German or European Union citizenship Preferred technical and professional experience
  • You have an interest in, understanding of, or experience with Design Thinking and Agile Development Methodologies
  • You have a good understanding in DevOps, MLOps and related tools such as IBM Cloud Pak 4 Data, JupyterLab, Git, Docker, Helm, FastAPI, REST
  • You have a good understanding of cloud and container technology (Red Hat OpenShift, AWS, Azure, etc)
  • Familiarity constructing usable data sets from multiple structured and unstructured data sources
  • You have an understanding about compliance and security requirements
  • You have preferably knowledge and experience in working with clients in the Public / Government area

ABOUT BUSINESS UNIT

IBM Consulting is IBMs consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means youll be able to learn and develop yourself and your career, youll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBMs greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, were also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now its time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Job Title Data Scientist (m/w/d) Job ID 62938 City / Township / Village Magdeburg, KOELN, Muenchen, FRANKFURT State / Province Hesse, North Rhine-Westphalia, Bavaria, Saxony-Anhalt Country Germany Work arrangement Hybrid Area of work Data & Analytics Employment type Regular Position type Professional Travel required Up to 40% or 2 days a week (home on weekends- based on project requirements) Company (1295) IBM Client Innovation Center Germany GmbH Shift General (daytime)

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