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# Senior Data Scientist

- **Company:** Finmatics GmbH
- **Location:** Wien, Austria (Remote available)
- **Experience:** Expert
- **Salary:** €65,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Data Architecture, Apache Hadoop, Python (Programming Language), Machine Learning, Language Modeling, Software Tools, Tensorflow, Google Cloud, Large Language Models, Apache Spark, Generative AI, Data Lakes, Information Technology, Data Management, Data Pipelines, Programming Languages
- **Published:** July 14, 2026
- **Apply:** https://www.adzuna.at/details/5712794752

## About the Role

* Master's or Ph.D. in Data Science, Computer Science, Statistics, or related field or equivalent knowledge and experience
 * Hands-On experience with Generative AI and Agentic workflows
 * Proven experience in taking part in complex projects
 * Expertise in modern language models and machine learning frameworks
 * Experience with modern LLM-Supporting Frameworks and Tools
 * Proficiency in modern LLM Prompting techniques and approaches
 * Experience with managing feedback training pipelines and fine-tuning
 * Strong command of programming languages such as Python, R or any strongly-typed computer language
 * Good knowledge of cloud platforms (AWS, GCP, Azure) and deployment processes

Nice to Have

 * Familiarity with big data technologies like Spark or Hadoop or any other commercial Data Warehouse and/or Data Lake technologies
 * Strong background in data architecture and database management.
 * Extensive experience with data management and engineering tools

## Description

As a Senior Data Scientist (m/f/d), you will work on exciting projects that deliver first-class solutions powered by modern language models. You will have full command of the technical stack necessary for development and deployment, collaborate closely with stakeholders, and play a key role in shaping the company's data science strategy., * Shape and implement the company's data science strategy and drive innovation, with a primary focus on Generative AI and Agentic workflows

 * Identify opportunities to leverage data for business value and impact
 * Take ownership of the full technical stack for development and deployment
 * Design, build, and maintain scalable machine learning models and efficient data pipelines
 * Ensure robust data management and engineering practices
 * Collaborate with cross-functional teams to gather requirements and deliver insights
 * Communicate complex technical concepts clearly to both technical and non-technical stakeholders


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