Data Scientist
Share
Job Location:
Basking Ridge, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Title: Data Scientist
Location: Basking Ridge NJ
Duration: Long Term Contract
Looking for W2 Candidates. No C2C
Location: Basking Ridge NJ
Duration: Long Term Contract
Looking for W2 Candidates. No C2C
Job Description:
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
Experience in telecom ISP or network operations environments preferred
Knowledge of AIOps or network intelligence platforms preferred
Experience with real-time streaming data tools such as Kafka or Flink preferred
Exposure to ITIL and incident/problem management frameworks preferred
Deliverables include alarm correlation and RCA models reducing false positives predictive fault alerts improving proactive maintenance operational dashboards for NOC and engineering teams and documentation with model performance reports
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
Experience in telecom ISP or network operations environments preferred
Knowledge of AIOps or network intelligence platforms preferred
Experience with real-time streaming data tools such as Kafka or Flink preferred
Exposure to ITIL and incident/problem management frameworks preferred
Deliverables include alarm correlation and RCA models reducing false positives predictive fault alerts improving proactive maintenance operational dashboards for NOC and engineering teams and documentation with model performance reports
Best Regards
Tarun K
Phone: 1-
Email:
Tarun K
Phone: 1-
Email:
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
