Location: Basking Ridge, NJ
Duration: 6 months
Duration: 6 months
Job Description:
• Analyze large-scale wireless network alarm data across RAN, Core, and IEN domains from OSS, NMS, and EMS systems
• Identify patterns, trends, and recurring fault signatures across multiple network domains
• Develop KPIs and metrics to track network health, fault trends, availability, and reliability
• Build machine learning models for alarm correlation, noise reduction, and false-positive suppression
• Develop root cause analysis (RCA), anomaly detection, and predictive fault and failure forecasting models
• Apply supervised and unsupervised learning techniques, including clustering, classification, and time-series analysis
• Clean, normalize, enrich, and preprocess alarm and event data from multiple sources
• Integrate data from OSS, EMS, NMS, CMDB, and performance management systems
• Automate data pipelines, fault analytics workflows, and model deployment processes • Work with real-time and batch data processing platforms, including Spark and streaming technologies • Design and maintain interactive dashboards and reports for real-time fault monitoring and analysis • Visualize insights using tools such as Tableau, Power BI, Grafana, or Python visualization libraries
• Present analytical findings clearly to both technical and non-technical stakeholders
• Collaborate closely with NOC, Network Engineering, Reliability, and Operations teams
• Translate analytical insights into actionable operational recommendations
• Support proactive maintenance, incident prevention, and MTTR reduction initiatives
• Develop solutions using Python and R, leveraging libraries such as Pandas, NumPy, Scikit-learn, and PySpark
• Query and analyze data using SQL and big data platforms such as Spark and Hadoop
• Apply strong understanding of wireless network technologies, including 2G, 3G, 4G, 5G, RAN, and Core networks
• Apply knowledge of IEN, IP, and Ethernet networking concepts
• Leverage familiarity with network alarms, fault management processes, and OSS/NMS platforms
• Apply reliability and operations metrics including SLA, MTTR, availability, and service performance • Work effectively in cross-functional operational environments with strong analytical and problem-solving skills
• Develop and deliver alarm correlation and RCA models that reduce false positives
• Produce predictive fault alerts to enable proactive maintenance
• Deliver operational dashboards, documentation, and model performance reports for NOC and engineering teams
• Identify patterns, trends, and recurring fault signatures across multiple network domains
• Develop KPIs and metrics to track network health, fault trends, availability, and reliability
• Build machine learning models for alarm correlation, noise reduction, and false-positive suppression
• Develop root cause analysis (RCA), anomaly detection, and predictive fault and failure forecasting models
• Apply supervised and unsupervised learning techniques, including clustering, classification, and time-series analysis
• Clean, normalize, enrich, and preprocess alarm and event data from multiple sources
• Integrate data from OSS, EMS, NMS, CMDB, and performance management systems
• Automate data pipelines, fault analytics workflows, and model deployment processes • Work with real-time and batch data processing platforms, including Spark and streaming technologies • Design and maintain interactive dashboards and reports for real-time fault monitoring and analysis • Visualize insights using tools such as Tableau, Power BI, Grafana, or Python visualization libraries
• Present analytical findings clearly to both technical and non-technical stakeholders
• Collaborate closely with NOC, Network Engineering, Reliability, and Operations teams
• Translate analytical insights into actionable operational recommendations
• Support proactive maintenance, incident prevention, and MTTR reduction initiatives
• Develop solutions using Python and R, leveraging libraries such as Pandas, NumPy, Scikit-learn, and PySpark
• Query and analyze data using SQL and big data platforms such as Spark and Hadoop
• Apply strong understanding of wireless network technologies, including 2G, 3G, 4G, 5G, RAN, and Core networks
• Apply knowledge of IEN, IP, and Ethernet networking concepts
• Leverage familiarity with network alarms, fault management processes, and OSS/NMS platforms
• Apply reliability and operations metrics including SLA, MTTR, availability, and service performance • Work effectively in cross-functional operational environments with strong analytical and problem-solving skills
• Develop and deliver alarm correlation and RCA models that reduce false positives
• Produce predictive fault alerts to enable proactive maintenance
• Deliver operational dashboards, documentation, and model performance reports for NOC and engineering teams
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Dharma Veer
US IT Recruiter
11494 Luna Road, Ste 280 Farmers Branch, TX -75234
Phone: (972) – 756 – 1212 Ext 128
