Data Scientist

• Develop and improve machine-learning and statistical models for real business challenges, including classification, forecasting, anomaly detection, clustering, predictive analytics and optimization.
• Work with large, complex, structured and unstructured datasets from different source systems.
• Support the development of end-to-end ML and AI use cases -- from data exploration and feature engineering to model training, validation, deployment and monitoring.
• Bring a Data Science perspective into our Databricks implementation and help establish scalable ways of working for ML and AI on a modern cloud data platform.
• Collaborate closely with Data Engineers, DWH Developers, BI Developers, Architects, Product Owners, Operation Teams and business departments.
• Translate complex analytical results into clear recommendations, visualizations and business-relevant insights.
• Help identify new ML, AI and GenAI use cases and evaluate where modern tools can reduce time-to-market.
• Contribute to best practices around MLOps, model lifecycle management, reproducibility, governance and responsible AI.
• Work in an agile team that values ownership, curiosity, pragmatic problem solving and continuous learning., * Work on complex and meaningful use cases: You will work with large-scale telco data and analytical challenges that go beyond standard reporting.
• Shape a new Data & AI platform: Drei is introducing a modern Databricks-based analytics platform, creating new possibilities for Data Science, ML and AI.
• Create visible impact: Your work can influence business decisions, customer experience, network insights and the future of data-driven work at Drei.
• Move models closer to production: You will help us bridge the gap between experimentation and scalable, governed implementation.
• Use modern tools: You will work with cloud-native technologies, Big Data tooling, MLOps concepts and emerging AI capabilities.
• Collaborate across domains: You will work together with experts from Big Data, DWH, BI, architecture, IT security, governance and business departments.
• Keep learning: The role offers room to grow into new technologies, platform capabilities and AI use cases.

• Several years of practical experience in Data Science, Machine Learning or Applied Statistics.

• Strong Python and SQL skills and experience working with large datasets.

• Solid knowledge of statistical modelling and machine-learning methods, e.g. regression, classification, clustering, gradient boosting, random forests, XGBoost, time-series modelling or anomaly detection.

• Experience with the full Data Science lifecycle: exploratory data analysis, feature engineering, model training, hyperparameter tuning, validation, interpretation and communication of results.

• Experience deploying or operationalizing ML models, ideally in production or near-production environments.

• Familiarity with PySpark, Spark-based processing or Big Data environments.

• Interest in modern cloud-native Data & AI platforms -- ideally Azure Databricks, Delta Lake, MLflow, Unity Catalog, Terraform or comparable technologies.

• Interest or experience in GenAI, LLMs, AI Agents, NLP, embeddings, RAG patterns or AI-assisted development.

• Ability to explain complex analytical and technical topics clearly to technical and non-technical stakeholders.

• A structured, independent and solution-oriented working style.

• Strong team spirit and openness to working in an agile setup.

• Excellent English skills; German is an advantage. Nice to have:

• Experience with Databricks, Azure, MLflow, Delta Lake, Unity Catalog or cloud-native MLOps.

• Experience with geospatial analytics, location data, coordinates, grids or network-related analytics.

• Experience with deep learning frameworks such as PyTorch or TensorFlow.

• Knowledge of responsible AI, data governance, model monitoring or AI compliance topics.

• Experience with visualization and storytelling tools such as Power BI, Tableau or similar.

• Experience in telecommunications, customer analytics, network analytics or large-scale enterprise data environments.

Your advantages and benefits at Drei. We want to face new challenges and develop innovative ideas every day. In return, we also give something back to our employees every day:

• Top mobile phone of your choice incl. employee tariff and selected additional packages.
• Subsidy for the annual pass for public transport or company car park
• 2 additional days of vacation from the 2nd year of working
• Annual actual salary increase or additional days off
• Open office infrastructure incl. free coffee and soda water
• Internal canteen and lifestyle garden
• Lunch Allowance
• Hybrid workmodel with base HQ Vienna (mobile working up to 60% possible)
• Comprehensive equipment and internet for home office
• Family-friendly employer with childcare options
• Personal and professional development via the Drei Academy
• Employee discounts, company events and sports activities
• Health campaigns and company doctor

We will agree on your grade and salary in line with market rates, based on your professional and personal skills. The role will be structured as an all-inclusive employment contract. In accordance with the collective agreement for telecoms companies, the gross annual salary is at least EUR 43.500,00 on a full-time basis (38.5 hours per week).