Data Scientist

Job Description

Must Have Technical/Functional Skills

Technical:

• 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 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