Data Scientist (m/f/d)

Drei Österreich; Wien; Vor Ort; EUR 39.150 - 47.850; Vollzeit

Benefits dieser Stelle

Hybrid-Workmodell

Home-Office Ausstattung

Weiterbildung über Drei Academy

Jobticket/öffentl. Verkehr

Zusammenfassung

Drei Österreich sucht eine/n Data Scientist zur Entwicklung von ML- und statistischen Modellen in einem datengetriebenen Telco-Umfeld. Sie arbeiten mit großen, heterogenen Daten und helfen, moderne ML/AI-Use-Cases auf einer cloud-nativen Plattform umzusetzen.

Sie bringen mehrjährige Erfahrung in Data Science, Python/SQL und ML-Methoden mit, arbeiten eng mit Data Engineers, BI-Entwicklern und Fachbereichen zusammen und tragen zur Skalierung von ML/Learning-Prozessen bei.

Qualifikationen

• Mehrere Jahre praktische Erfahrung in Data Science, ML oder angewandter Statistik.
• Fundierte Kenntnisse in Python und SQL sowie Umgang mit großen Datensätzen.
• Gute Kenntnisse in Statistik-Modellierung, ML-Methoden und modellbasierter Analyse.
• Erfahrung im Data Science Lifecycle: EDA, Feature Engineering, Modelltraining, Validation, Deployment.
• Erfahrung in der Produktion/near-production von ML-Modellen, idealerweise in Cloud-Umgebungen.
• Vertrautheit mit PySpark/Spark-Umgebungen und Cloud-native Plattformen.

Aufgaben

• Entwickeln und Verbessern von ML- und statistischen Modellen für reale Business-Herausforderungen.
• Arbeiten mit großen, komplexen Datenbeständen aus unterschiedlichen Quellen.
• Unterstützung der Entwicklung end-to-end ML/AI Use Cases von Datenanalyse bis Deployment und Monitoring.
• Bring Data Science Perspektive in die Databricks-Implementierung zur Skalierung von ML/AI.
• Enge Zusammenarbeit mit Data Engineers, DWH-, BI-Entwicklern, Architekten, Product Owners und Fachbereichen.
• Übersetzen komplexer analytischer Ergebnisse in klare Empfehlungen und Visualisierungen.

Kenntnisse

Python

SQL

Data Science

Machine Learning

PySpark

Azure Databricks

Tools

Databricks

MLflow

Delta Lake

Unity Catalog

Terraform

Jobbeschreibung

At Drei, Data Science is not only about building models — it is about turning large-scale data into real business impact.

As part of our Big Data Team, you will work on complex analytical and machine-learning use cases in a highly data-driven telco environment. You will help us move from traditional Big Data and DWH landscapes towards a modern, cloud-enabled Data & AI platform based on Databricks on Azure.

This is a role for someone who enjoys solving complex problems, working hands-on with data and models, and helping shape how Data Science is done on a modern enterprise platform. You will contribute to use cases such as customer analytics, churn and prediction models, network and geospatial analytics, anomaly detection, AI-supported decisioning, and new ML/AI opportunities across the organization.

You will join at an exciting point in our journey: our new unified analytics platform is moving from evaluation and setup into implementation and production-readiness. That means you will not only use the platform — you can actively influence how Data Science, ML and AI use cases are built, deployed and scaled at Drei.

Was du bei uns machst.

• 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.

Was du mitbringst.

• 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.

Why this role is exciting

• 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.

Benefits

We offer a range of benefits to support our employees, including:

• Zuschuss zur Jahreskarte (AT) bzw. Jobticket (DE) für die öffentlichen Verkehrsmittel
• 2 zusätzliche Urlaubstage ab dem 2. Dienstjahr (AT)
• Open Office Infrastruktur inkl. Gratis Kaffee und Sodawasser
• Monatlicher Essenszuschuss
• Umfassendes Equipment und Internet fürs Homeoffice (AT)
• Familienfreundlicher Arbeitgeber
• Persönliche und fachliche Weiterbildung über die Drei Academy
• Gesundheitsaktionen und Arbeitsmedizin
• Rabatte, Firmenevents und Sportaktivitäten
• Flexible Arbeitszeiten (wo möglich) und Mobiles Arbeiten
• Meetings im Lifestyle-Garten im HQ möglich (AT)
• Jährliche Ist-Lohnerhöhung oder Freizeitoption (AT)

What we offer

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 € 43.500,00 on a full-time basis (38.5 hours per week).

You can find details about everyday life at Drei on our website under Careers in the "Work @ Drei" section.

“We are actively living gender equality and diversity and are happy to receive your application.”

Data Scientist (m/f/d)

• 1210, Wien, Österreich
• undefined
• Präsenz / Mobil

Verena Pantzer

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