Data Scientist (m / w / d)

IBM Client Innovation Center Germany GmbH von bms; Magdeburg; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A consulting and technology firm is looking for a Data Scientist to solve business problems with AI tools. Responsibilities include analyzing complex data, developing machine learning models, and collaborating with diverse teams. Strong knowledge of Python, R, and predictive modeling skills required. Proficiency in German (C1) is essential.

Qualifikationen

• Strong fundamentals in Mathematics and/or Computer Science.
• Solid knowledge in data science tools and technologies.
• Proficiency in a statistical programming language.
• Experience with predictive/prescriptive modeling.
• Strong technical and analytical abilities.

Aufgaben

• Analyze and prepare complex data sources.
• Implement and validate predictive models.
• Write programs to cleanse and integrate data.
• Develop robust machine learning pipelines.
• Document and communicate with stakeholders.

Kenntnisse

Data science tools (Python, SQL, Pandas)

Statistical programming languages (R, Python)

Predictive modeling

Mathematics and Computer Science fundamentals

Problem-solving skills

Teamwork and communication skills

German language skills (C1 level)

Ausbildung

Bachelor's Degree

Master's Degree

Tools

Python

R

SQL

Scikit-learn

Docker

AWS

Azure

Jobbeschreibung

Overview

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. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

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, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:

• 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 in your projects
• Writing programs to cleanse and integrate data in an efficient and reusable manner
• 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 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 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

Education

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
• Proficiency in at least one statistical programming language such as R, Python, Scala or SAS, SPSS, Matlab
• Solid understanding of experience with predictive / prescriptive modeling 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
• Strong problem-solving, debugging, troubleshooting, and solution design skills for complex technical issues
• Teamwork with 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
• Understanding of MLOps and related tools such as IBM Cloud Pak for 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
• Knowledge or experience in the banking and financial services industry preferred