Data Scientist
Job DescriptionMust Have Technical/Functional SkillsTechnical:• Strong proficiency in Python / R (Pandas, NumPy, Scikit-learn, PySpark) • Experience with time-series data and event/alarm analytics,sliding 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 systemsRoles & 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 trendsMachine 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