
Data Scientist
RHI Magnesita
full-time
Posted on:
Location Type: Hybrid
Location: Vienna • Austria
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Salary
💰 €65,000 per year
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonpandasnumpyscikit-learnPyTorchTensorFlowSQLdata modelingexploratory data analysis
Soft Skills
communicationcollaborationproblem-solvinganalytical thinkingattention to detail
Certifications
Bachelor's degreeMaster's degreedata/AI certifications