Senior Data Scientist - mit sehr guten Deutschkenntnissen (m/w/d)

IBM; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology company in Munich is seeking a Senior Data Scientist with excellent German skills. The position involves analyzing complex data sources, developing machine learning pipelines, and collaborating within an agile team. Candidates should have a Master's degree and strong experience with Python, SQL, and statistical programming. The job is full-time, targeting professionals who are keen to innovate in the data science field. German or EU citizenship is required.

Qualifikationen

• Master's degree preferred in a relevant field.
• Strong understanding of mathematics and algorithms.
• Excellent problem-solving abilities and strong teamwork.
• Experience with predictive modeling and programming skills in Python or Java.

Aufgaben

• Analyze and prepare complex data sources.
• Implement and validate predictive models.
• Develop robust machine learning pipelines.
• Documentation and communication with clients and stakeholders.

Kenntnisse

Mathematics fundamentals

Data science tools (Python, SQL, etc.)

Statistical programming (R, Python, etc.)

Predictive modeling skills

Problem-solving skills

Teamwork

Excellent German (C1)

Ausbildung

Master's Degree

Tools

Python

SQL

Pandas

NumPy

Scikit-learn

Transformers

Java

R

Scala

Jobbeschreibung

Senior Data Scientist - mit sehr guten Deutschkenntnissen (m/w/d) at IBM

Location: Munich, Bavaria, Germany

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. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In this role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients.

Your Role And Responsibilities

• Analysis and preparation 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
• Writing programs to cleanse and integrate data efficiently and reusable
• Development of robust machine learning pipelines
• Application of traditional machine learning algorithms as well as modern deep learning approaches (such as GenAI)
• Working in an agile, collaborative environment, partnering with scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor to predicting behaviours
• Documentation and communication with internal and external clients and stakeholders to understand and define business needs and appropriate modelling techniques, and presenting proposed solutions and results
• Evaluating modelling results and communicating them 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 tools and technologies such as Python, SQL, Pandas, NumPy, Scikit-learn, Transformers
• Proficiency in at least one statistical programming language such as R, Python, Scala or SAS, SPSS, Matlab
• Strong understanding of predictive/prescriptive modeling skills
• Experience with programming/scripting in Java or Python
• Excellent problem‑solving skills, debugging, troubleshooting, and designing and implementing solutions to complex technical issues
• Strong teamwork and 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

• Interest in, understanding of, or experience with Design Thinking and Agile Development Methodologies
• Good understanding of MLOps and related tools such as IBM Cloud Pak 4 Data, JupyterLab, Git, Docker, Helm, FastAPI, REST
• Understanding of cloud and container technology (Red Hat OpenShift, AWS, Azure, etc)
• Familiarity with constructing usable data sets from multiple structured and unstructured data sources
• Preferably knowledge in banking and financial services industry

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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