RHI Magnesita

Data Scientist

RHI Magnesita

full-time

Posted on:

Location Type: Hybrid

Location: ViennaAustria

Visit company website

Explore more

AI Apply
Apply

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