VMC Soft Technologies, Inc · 12 hours ago
Data Scientist – Network Fault Management
Basking Ridge, NJ
Contract
Onsite
Mid LevelVMC Soft Technologies, Inc is seeking a Data Scientist specialized in Network Fault Management. The role involves analyzing large-scale wireless and IEN network alarm data to identify patterns and trends, developing KPIs and dashboards, and building machine learning models for predictive fault forecasting.
Business DevelopmentInformation TechnologyProduct ManagementSoftware
Hiring Manager
Sai Abhyuday
Responsibilities
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
Build machine learning models for alarm correlation, noise reduction, root cause analysis, anomaly detection, and predictive fault forecasting
Apply supervised and unsupervised learning techniques such as clustering, classification, and time-series analysis
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
Collaborate with NOC, Network Engineering, and Reliability teams to translate analytical findings into operational recommendations
Support proactive maintenance and incident prevention initiatives
Create interactive dashboards and reports for real-time fault monitoring
Present insights clearly to technical and non-technical stakeholders
Qualification
Required
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
Build machine learning models for alarm correlation, noise reduction, root cause analysis, anomaly detection, and predictive fault forecasting
Apply supervised and unsupervised learning techniques such as clustering, classification, and time-series analysis
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
Collaborate with NOC, Network Engineering, and Reliability teams to translate analytical findings into operational recommendations
Support proactive maintenance and incident prevention initiatives
Create interactive dashboards and reports for real-time fault monitoring
Present insights clearly to technical and non-technical stakeholders
Strong proficiency in Python or R (Pandas, NumPy, Scikit-learn, PySpark)
Experience with time-series data and event/alarm analytics
Knowledge of machine learning algorithms for classification, clustering, and anomaly detection
Experience with SQL and big data platforms such as Spark or Hadoop
Familiarity with visualization tools like Tableau, Power BI, Grafana, or Python visualization libraries
Understanding of wireless networks (2G/3G/4G/5G, RAN, Core)
Knowledge of IEN/IP/Ethernet networking concepts
Familiarity with network alarms, fault management, and OSS/NMS systems
Understanding of MTTR, SLA, availability, and reliability metrics
Strong analytical and problem-solving skills
Ability to communicate insights effectively and work in cross-functional operational teams
Preferred
Experience in telecom, ISP, or network operations environments
Knowledge of AIOps or network intelligence platforms
Experience with real-time streaming data tools such as Kafka or Flink
Exposure to ITIL and incident/problem management frameworks
Company
VMC Soft Technologies, Inc
A fast-growing full-service company, VMC Soft Technologies offers IT Services, Product Development Solutions,Training and US IT Recruitement/ RPO/ IT Staffing, Business Process Outsourcing solutions to mid and large-sized organizations.
Founded in 2016
51-200 employees
H1B Sponsorship
VMC Soft Technologies, Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (39)
2024 (29)
2023 (45)
2022 (33)
2021 (16)
2020 (17)
Funding
Current Stage
Growth StageCompany data provided by crunchbase