Role: Data Scientist
Location: Irving TX (Onsite)
Mode of Employment: Direct Hire (FTE)
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 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
Role: Data Scientist Location: Irving TX (Onsite) Mode of Employment: Direct Hire (FTE) 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 analyticssliding winsows i...
Role: Data Scientist
Location: Irving TX (Onsite)
Mode of Employment: Direct Hire (FTE)
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 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
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