Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Future Connections

Senior Data Scientist

Future Connections

Senior Data Scientist applying AI for network optimization and performance improvement in telecommunications sector. Delivering state-of-the-art AI/ML solutions and collaborating with cross-functional teams.

Posted 5/27/2026full-timeRemote • 🇪🇸 SpainSeniorWebsite

Tech Stack

Tools & technologies
NoSQLNumpyPandasPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Telecommunications Engineering (or related field)
  • 6–8+ years of hands-on experience applying Machine Learning in technical environments
  • Strong, practical expertise in telecom networks (RAN, KPIs, traffic behavior)
  • Proven experience working with telecom network dataset
  • Deep knowledge of: Machine Learning & Deep Learning Neural Networks and model optimization
  • Time-series analysis
  • Strong programming skills in Python (NumPy, Pandas, PyTorch/TensorFlow)
  • Experience with SQL/NoSQL databases
  • Exposure to Generative AI / LLM technologies (prompt engineering, RAG pipelines, fine-tuning) and interest in applying them to telecom operations or network management contexts​
  • Strong analytical mindset and problem-solving capabilities
  • English level B2+

Benefits

Comp & perks
  • Health insurance
  • Flexible Compensation Plan as an enterprise benefit
  • Annual training budget to help you stay technologically up to date and grow professionally
  • Time flexibility: our life is not just a working day; we give you flexibility both in entry and exit.
  • Reduced working day on Fridays and Summer (July and August).

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningDeep LearningNeural NetworksModel OptimizationTime-series AnalysisPythonSQLNoSQLGenerative AIReinforcement Learning
Soft Skills
Analytical MindsetProblem-solvingCollaborationTechnical ReferenceBest Practices Contribution
Certifications
Bachelor’s Degree in Telecommunications EngineeringMaster’s Degree in Telecommunications Engineering