Job Position: Data Scientist
Location: Basking Ridge, NJ (Onsite)
Duration: 6+ Months with possible extension
Data Scientist – Network Fault Management (Wireless & IEN Alarms)
• Analyze large-scale wireless (RAN, Core) and IEN network alarm data from OSS/NMS systems
• Identify patterns, trends, and recurring fault signatures across network domains
• Develop KPIs and dashboards to track network health and fault trends
• Build machine learning models for alarm correlation, noise reduction, root cause analysis, anomaly detection, and predictive fault forecasting
• Apply supervised and unsupervised learning techniques such as clustering, classification, and time-series analysis
• Clean, normalize, and enrich alarm data from multiple sources
• Integrate data from OSS, EMS, NMS, CMDB, and performance systems
• Automate fault insight pipelines and model deployment
• Collaborate with NOC, Network Engineering, and Reliability teams to translate analytical findings into operational recommendations
• Support proactive maintenance and incident prevention initiatives
• Create interactive dashboards and reports for real-time fault monitoring
• Present insights clearly to technical and non-technical stakeholders
• Strong proficiency in Python or R (Pandas, NumPy, Scikit-learn, PySpark)
• Experience with time-series data and event/alarm analytics
• Knowledge of machine learning algorithms for classification, clustering, and anomaly detection
• Experience with SQL and big data platforms such as Spark or Hadoop
• Familiarity with visualization tools like Tableau, Power BI, Grafana, or Python visualization libraries
• Understanding of wireless networks (2G/3G/4G/5G, RAN, Core)
• Knowledge of IEN/IP/Ethernet networking concepts
• Familiarity with network alarms, fault management, and OSS/NMS systems
• Understanding of MTTR, SLA, availability, and reliability metrics
• Strong analytical and problem-solving skills
• Ability to communicate insights effectively and work in cross-functional operational teams
• Experience in telecom, ISP, or network operations environments preferred
• Knowledge of AIOps or network intelligence platforms preferred
• Experience with real-time streaming data tools such as Kafka or Flink preferred
• Exposure to ITIL and incident/problem management frameworks preferred
• Deliverables include alarm correlation and RCA models reducing false positives, predictive fault alerts improving proactive maintenance, operational dashboards for NOC and engineering teams, and documentation with model performance reports
Contact Information
Email: sonuc@sysmind.com
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