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

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Introduction

A career in IBM Consulting is rooted by long‑term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground‑breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience.

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

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
• Proficient in at least one of the statistical programming languages such as R, Python, Scala or SAS, SPSS, Matlab
• Solid understanding of predictive/prescriptive modelling skills
• 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
• Excellent problem‑solving skills: debugging, troubleshooting, and designing & implementing solutions to complex technical issues
• Excellent verbal and written communication skills; thrives on teamwork
• Excellent verbal and written German language skills (C1 level)
• German or European Union citizenship

Preferred Technical And Professional Experience

• Interest in, understanding of, or experience with Design Thinking and Agile Development Methodologies
• Good understanding in DevOps, MLOps and related tools such as IBM Cloud Pak 4 Data, JupyterLab, Git, Docker, Helm, FastAPI, REST
• 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
• Understanding of compliance and security requirements
• Preferably knowledge and experience working with clients in the Public / Government area

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting

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