Hybrid Data Scientist

at RHI Magnesita

• Job title: Data Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: €65,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Docker, Numpy, Pandas, Python, PyTorch, Scikit-Learn, SQL, Tensorflow, Unity
• Location requirements: Hybrid, Vienna, Austria

About the role

• Data Scientist designing and deploying AI and ML solutions impacting business processes at RHI Magnesita. Collaborating with cross-functional teams to ensure data quality and governance.

Responsibilities

• Design, development and maintenance of end-to-end ML pipelines for training, evaluation, and deployment across batch and real-time applications
• Production deployment of 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

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
• Several years of experience building production-ready ML systems, with Python and ML frameworks (pandas, numpy, scikit-learn, PyTorch, TensorFlow), and with containerization and CI/CD (Git, Docker, orchestration/workflows)
• Strong SQL and data modeling skills with experience in exploratory data analysis (EDA) to identify patterns and dependencies
• Experience with vector indexes, embedding models, LLM agent patterns, ingestion pipelines, and model management frameworks (e.g., MLflow, Databricks)
• Experience with unified data/AI platforms such as Databricks, including Unity Catalog, governance concepts, A/B testing, causal inference, and experimentation platforms
• Languages: English – fluent
• Nice to have: Relevant cloud or data/AI certifications. Familiarity with writing and debugging LLM tools in OOP-style Python, with a focus on Generative AI (prompting, RAG, vector search) and MLOps

Benefits

• Option for up to 50% remote work and flexible, trust-based working hours
• Annual public transport pass (Wiener Linien)
• Sponsorship of sporting events, platform for mental and physical health (Mavie)
• On-site café and daily meal allowance for numerous restaurants (Europlaza)
• Global benefits