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# Senior Data Scientist

- **Company:** RHI Magnesita
- **Location:** Wien, Austria
- **Experience:** Expert
- **Salary:** €65,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Data Cleansing, Software Debugging, Python (Programming Language), Machine Learning, NumPy, Object-Oriented Software Development, Tensorflow, Runbook, Search Technologies, SQL Databases, Feature Engineering, Data Ingestion, Pytorch, Large Language Models, Generative AI, Git, Pandas, Containerization, AI Platforms, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Docker, Databricks
- **Published:** September 25, 2026
- **Apply:** https://devjobs.at/job/cb3f8e89f54ea98256ebc689036001d5

## About the Role

* Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics or a related field of study., * Proficiency in SQL and data modeling with EDA for pattern and dependencies identification.
 * Languages: English - fluent.
 * Nice to have: Any relevant cloud or data/AI certifications. Familiarity with writing and debugging LLM tools in OOP python format, with focus on Generative AI (prompting, RAG, vector search) and MLOps., * Several years of experience in building production-grade ML systems, with Python and ML frameworks (pandas, numpy, scikit-learn, PyTorch, TensorFlow) as well as containerization and CI/CD (Git, Docker, orchestration/workflows).
 * Experience with Vector Indexes, Embedding Models, LLM agent patterns, ingestion pipelines, and model serving frameworks (e.g., MLflow, Databricks).
 * Experience with unified data/AI platforms like Databricks, including Unity Catalog, governance concepts, A/B testing, causal inference, and experimentation platforms.

## Description

* As a Data Scientist, you will design, build, and deploy end-to-end AI and ML solutions that impact critical business processes across our industrial value chain.
 * Joining our central Data & Analytics team, you will collaborate with data engineers, product teams, and domain experts to deliver high-impact AI and ML systems while ensuring data quality, lineage, and governance.
 * This is a chance to shape the future of AI at the world's leading refractory company by building models, platforms, and infrastructure that matter.
 * Designing, developing, and maintaining end-to-end ML pipelines for training, evaluation, and deployment across batch and real-time use cases.
 * Productionizing ML models via APIs or batch inference, including telemetry, A/B testing, drift detection, and automated monitoring.
 * Building reliable data preparation and feature engineering components.
 * Optimizing model training and inference performance and cost, including hardware selection, caching, vectorization, quantization, and scalable endpoints.
 * Establishing and maintaining CI/CD workflows for ML systems, contributing to platform standards, documentation, and runbooks.


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