NextGen | GTA: A Kelly Telecom Company

Senior Data Scientist – Telecom Analytics & ML Models

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist specializing in telecom analytics and ML models, with a contract length of "unknown," a pay rate of "unknown," and remote work location. Key skills include cloud ML deployment, telecom industry experience, and proficiency in Spark, Python, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 3, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Texas, United States
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🧠 - Skills detailed
#Anomaly Detection #ML (Machine Learning) #Grafana #Monitoring #Azure #Data Engineering #Model Deployment #Kubernetes #Scala #BigQuery #Apache Spark #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Data Pipeline #Data Processing #Python #Cloud #Prometheus #Dataflow #Deployment #Spark (Apache Spark) #Data Science
Role description
We are looking for an experienced Senior Data Scientist with strong expertise in telecom analytics, machine learning model deployment, and cloud-native data engineering. The ideal candidate will have hands-on experience working with large-scale data platforms, deep knowledge of telecom domain use cases (such as churn prediction, network performance, and 5G analytics), and proven skills in deploying models to production. Key Responsibilities • Design, develop, and deploy machine learning models for telecom-specific use cases such as: • Customer churn prediction • Network optimization • Performance monitoring and anomaly detection • Build and maintain end-to-end data pipelines using tools like Apache Spark, Google Dataflow, BigQuery, etc. • Deploy ML models on GCP and Azure platforms, ensuring scalability and reliability • Collaborate with telecom SMEs to translate business problems into data-driven solutions • Monitor model and system performance using tools like Prometheus and Grafana • Identify system bottlenecks and optimize resource utilization in Kubernetes environments • Contribute to the continuous improvement of data science best practices, tooling, and architecture Required Skills & Experience ✅ 5+ years of experience as a Data Scientist or ML Engineer ✅ Strong experience with cloud ML deployments (GCP, Azure) ✅ Proficiency in Spark, Python, SQL, and data pipeline tools ✅ Telecom industry experience – preferably with exposure to 4G/5G, SD-WAN, and OSS/BSS systems ✅ Familiarity with monitoring tools like Prometheus and Grafana in Kubernetes environments ✅ Excellent communication and problem-solving skills Preferred Qualifications ➕ Experience working with British or European telecom providers ➕ Exposure to MLOps and CI/CD pipelines for ML ➕ Familiarity with real-time data processing and model serving We are Connectors. We thrive on ‘quality over quantity’ and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner! We are Collaborators. You’ll be working with a wholly owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don’t stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support. We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page!