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Rarr Technologies
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Senior Data Science Engineer - Telecom

Senior Data Science Engineer - Telecom

Rarr Technologies

5 - 8 years

7 - 10 Lacs

Gurugram

Posted:2 weeks ago| Platform:

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Skills Required

Telecom Bss data science RF Machine learning SNMP JSON Analytics SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are hiring a

Senior Data Science Engineer

to design scalable data science pipelines and build robust machine learning models that drive business outcomes and to build data-driven solutions for telecom network operations, customer analytics, and predictive maintenance. The candidate should handle large-scale time series and log data for anomaly detection and performance optimization.

Build, test, and optimize machine learning models using structured and unstructured data.
Build predictive models for network outage detection, churn, and SLA violations.
Develop data pipelines that consume OSS/BSS data, CDRs, and network KPIs.
Apply time series models (ARIMA, Prophet) and ML algorithms for fault prediction.
Optimize network parameters using AI/ML and statistical models.
Collaborate with network analytics, RF, and operations teams.

Requirements:

Strong data wrangling with telecom formats (CSV, JSON, SNMP, NetFlow).
Strong in Python, Pandas, NumPy, SQL, and Scikit-learn.
Experience with ML model lifecycle tools (MLflow, Airflow, Kubeflow).
Deep understanding of supervised, unsupervised, and time series modeling.
Familiar with telecom tools/data sources: Zabbix, Nagios, CEM, NetAct, ENM.
Understanding of 4G/5G architecture, OSS/BSS, and KPI monitoring.

Ml, Python, Data Science Engineer

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Senior Data Science Engineer - Telecom