Data Scientist

Data Scientist

Location: Irving, TX

Roles and Responsibilities

Must Have Technical/Functional Skills

• Strong proficiency in Python / R (Pandas, NumPy, Scikit-learn, PySpark)
• Experience with time-series data and event/alarm analytics, sliding windows, in-memory 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

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