AI/Data Scientist II

Jobtailor; Deutschland; Remote; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a data analytics specialist to transform telecom network data into actionable insights. You will analyze RAN, Core, IP, SD-WAN, and cloud domains, and build KPI models for performance and resilience.

You will develop data pipelines, support digital twin and graph analytics, and collaborate with AI/LLM teams for RAG workflows in a German context.

Qualifikationen

• Proficiency in Python, statistics, and machine learning.
• Experience with KPI development and feature engineering.
• Experience in network performance analytics across RAN, Core, IP, SD-WAN, and Transport.
• Expertise in fault analysis, correlation, and anomaly detection.
• Experience with AIOps and predictive analytics.
• Data pipelines and data quality management.
• Familiarity with TMF SID/Open API standards.
• Graph analytics and digital twin analytics.
• Proficiency with BigQuery or equivalent platforms.
• Understanding of LLMs, RAG, and AI agents.

Aufgaben

• 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 ML 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 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.

Kenntnisse

Python Proficiency

Statistics

Machine Learning

KPI/Feature Engineering

Network Performance Analytics

Fault Analysis

Anomaly Detection

AIOps

Data Pipelines

TMF SID/Open APIs

Graph Analytics

Digital Twin Analytics

BigQuery

LLMs/RAG/AI Agents

Tools

BigQuery

TMF SID

Open API

AI Agents

RAG

Jobbeschreibung

• 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