Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
EU
Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.
Senior Data Science Advisor providing data for business decisions and developing solutions. Role involves advanced analytics in the property and casualty insurance industry with a focus on model development.
Cientista de Dados Sênior na Deroyque, integrando a equipe e dominando o ciclo completo de Machine Learning. Transformando dados em decisões inteligentes em ambiente híbrido.
Head of Data leading the data function at Stay22, enhancing data governance and monetization strategies.
Data Scientist at LawDepot optimizing the Checkout experience through data - driven decisions. Involves statistical analysis, experiment design, and collaboration to enhance revenue growth.
Data Scientist leveraging data insights and machine learning for operational efficiency and innovation. Collaborate with stakeholders to drive impactful strategic decisions.
Data Scientist at Sun Life leveraging data and analytics to support client - centric solutions. Collaborating with business units to apply advanced analytics and drive measurable value.
Principal Data Scientist at Early Warning overseeing analytic model development for fraud detection and risk assessment. Leading a team in a dynamic, data - rich environment with collaboration across departments.