Future Connections

Data Scientist

• Design, develop and deploy advanced AI/ML models for telecom use cases such as: Network optimization, Traffic prediction and anomaly detection, QoS/QoE modeling and root cause analysis
• Apply and adapt state-of-the-art AI techniques, including: Deep Learning (CNNs, RNNs, Transformers), Reinforcement Learning for network optimization, Time-series modeling at scale
• Work deeply with real telecom network data (3G/4G/5G), understanding KPIs, counters, and traffic dynamics
• Build production-ready solutions, ensuring scalability, performance, and reliability
• Collaborate closely with data engineers and telecom experts to integrate AI models into real systems
• Act as a technical reference within the team, contributing to best practices and code quality
• Explore and apply Generative AI and LLM-based approaches to telecom use cases

Senior Data Scientist

Backend Engineer

• Design, develop and maintain backend services in Python
• Build and optimize ETL pipelines for large-scale data processing
• Work with structured and unstructured data, ensuring data quality and consistency
• Develop data ingestion, transformation, and integration processes
• Deploy and manage applications in cloud environments (AWS, Azure or GCP)
• Containerize applications using Docker and contribute to scalable architectures
• Analyze datasets to extract insights and support technical decision-making
• Ensure code quality, performance, and maintainability

Senior Data Scientist

Data Engineer, Python