? We’re Hiring | Senior Data Scientist – Telecom Domain

Job Title: Senior Data Scientist – Telecom Analytics

Experience: 5+ Years

Work Mode: 100% Remote / Work From Home

Employment Type: Full-Time

Industry: Telecom / Telecommunications

About the Role

We’re looking for an experienced Senior Data Scientist with 5+ years of experience and robust exposure to the Telecom domain to build advanced analytics and Machine Learning solutions.

The ideal candidate should have hands-on experience with large-scale telecom datasets such as CDR, network KPIs, subscriber data, usage patterns, network logs, alarms and OSS/BSS data.

Key Skills

• Strong Python, Pandas, NumPy & Scikit-learn

• Strong SQL and PySpark / Spark

• Machine Learning & Statistical Modeling

• Regression, Classification & Clustering

• Feature Engineering & Model Optimization

• Time Series Forecasting & Anomaly Detection

• Experience working with large-scale datasets

• ML Model Deployment & MLOps

• Exposure to AWS / Azure / GCP

Telecom Domain Experience

Experience in one or more of the following:

• CDR Analytics





• Customer Churn & Retention

• Subscriber / Customer Analytics

• Network Performance & KPIs

• Network Alarms & Logs

• OSS/BSS

• 4G/5G Analytics

• RAN / Core Network Data

• Network Optimization

• Fraud Analytics

• Traffic, Revenue & Usage Analytics

• Capacity Planning & Forecasting

⭐ Good to Have

Databricks, Hadoop, Hive, Power BI, Tableau, Deep Learning, NLP, GenAI, LLMs, RAG, LangChain, LlamaIndex, AI Agents or Vector Databases.

Ideal Candidate

Someone who can independently own Data Science projects, work with complex telecom data, build and deploy ML models, and turn data into actionable business and network insights.

Interested candidates can DM me or share their updated :

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