Must Have Technical/Functional Skills
Technical:
Strong proficiency in Python / R (Pandas NumPy Scikit-learn PySpark)
Experience with time-series data and event/alarm analyticssliding winsows inmemory DB
Knowledge of machine learning algorithms for classification clustering and anomaly detection
Experience with SQL big data platforms (Spark Hadoop)Kafka
Visualization tools: Tableau Power BI Grafana or Python visualization libraries Domain
Understanding of Wireless Networks (2G/3G/4G/5G RAN Core)
Knowledge of IEN / IP / Ethernet networking concepts
Familiarity with network alarms fault management OSS/NMS systems
Roles & Responsibilities
Data Analysis & Insight Generation
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
Machine Learning & Modeling
Build models for:
Alarm correlation and noise reduction
Root cause analysis (RCA)
Anomaly detection
Predictive fault and failure forecasting
Apply supervised and unsupervised learning techniques (clustering classification time-series analysis)
Data Engineering & Automation
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
Collaboration & Operations Support
Work closely with NOC Network Engineering and Reliability teams
Translate analytical findings into operational recommendations
Support proactive maintenance and incident prevention initiatives
Visualization & Reporting
Create interactive dashboards and reports for real-time fault monitoring
Present insights clearly to technical and non-technical stakeholders
Generic Managerial Skills:
Strong analytical and problem-solving skills
Ability to communicate insights effectively
Experience working in cross-functional operational teams