- Analyze telecom network data across RAN, Core, IP, Transport, SD-WAN, Cloud, OSS, and service domains
- Develop KPI models for performance, quality, faults, customer impact, capacity, and resilience
- Build machine-learning models for anomaly detection, fault prediction, root-cause analysis, and proactive assurance
- Create data pipelines for aggregation, cleansing, enrichment, and feature engineering
- Support digital twin and graph analytics for topology, dependencies, service impact, and fault propagation
- Develop network data quality, correlation, and entity resolution frameworks
- Enable AIOps use cases including alarm reduction, incident prioritization, predictive maintenance, and root-cause analysis
- Collaborate with AI/LLM teams to provide datasets, features, embeddings, and metadata for RAG and AI agents
- Align network data models with TMF SID/Open API standards
Requirements
- 6–12 years of experience
- Immediate to 0–60 days’ notice period
- Proficiency in Python, statistics, and machine learning
- KPI and feature engineering
- Network performance analytics across RAN, Core, IP, SD-WAN, and Transport
- Fault analysis, correlation, and anomaly detection
- AIOps and predictive analytics
- Data pipelines and quality management
- TMF SID/Open APIs
- Graph analytics and digital twin analytics
- BigQuery or equivalent platforms
- LLMs, RAG, and AI agents
Core Competencies
Demonstrates expertise in analyzing telecom network data and developing machine-learning models for performance and fault analysis. Proficient in creating data pipelines and aligning network data models with TMF SID/Open API standards.
Highest-signal resume keywords
- Python Proficiency
- Machine Learning Expertise
- Network Performance Analytics
- AIOps and Predictive Analytics
- Data Pipeline Development
ATS Optimization Keywords
Hard Skills
- Statistics
- KPI Development
- Feature Engineering
- Fault Analysis
- Anomaly Detection
- Correlation Techniques
- Graph Analytics
- Digital Twin Analytics
- Data Quality Management
- Predictive Maintenance
Industry Keywords
- Telecom Network Data
- RAN
- Core
- IP
- SD-WAN
- Transport
- Cloud
- OSS
- AIOps
- Incident Prioritization
Tools & Technologies
- BigQuery
- TMF SID
- Open API
- AI Agents
- RAG
#J-18808-Ljbffr
AI/Data Scientist II Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
