Data Scientist-7
Role summary
We are seeking a Data Scientist to join our team in Irving, TX. This full-time, onsite role focuses on analyzing large-scale wireless network data, identifying patterns, and building machine learning models for fault prediction and root cause analysis. You will be responsible for data engineering, automation, and creating visualizations to monitor network health. The ideal candidate will have strong proficiency in Python/R, machine learning algorithms, big data platforms (Spark, Hadoop, Kafka), SQL, and data visualization tools. A deep understanding of wireless networks (2G/3G/4G/5G, RAN, Core) and network alarm systems is essential. You will collaborate with NOC, Network Engineering, and Reliability teams to translate findings into operational recommendations and support proactive maintenance.
Irving, Texas 75014 Posted March 29th, 2026
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Job Type: Full Time
Job Category: IT
Job Description
Role : Data Scientist
Location : Irving, TX (ONSITE)
FTE ONLY
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
Required Skills
SQL APPLICATION DEVELOPER