Senior Data Scientist developing advanced analytical solutions to enhance customer data transformation at CI&T. Collaborating on strategic projects requiring strong analytical skills and cloud experience.
About the role
- Data Scientist applying Machine Learning techniques to telecom network data at Future Connections. Working on advanced use cases for network optimization and service quality across Spain and Europe.
Responsibilities
- Applying Machine Learning and Deep Learning techniques to real telecom network data.
- Working on advanced use cases related to network optimization, performance monitoring and service quality.
- Contributing to the full lifecycle of ML solutions, from use case definition and prototyping to production deployment.
- Collaborating with a multidisciplinary team of Telecommunications, Data and Software Experience for major wireless operators.
Requirements
- Bachelor’s or Master’s degree in Telecommunications Engineering
- 5+ years of professional experience applying Machine Learning in technical environments.
- Strong background in telecommunications networks, KPIs and traffic analysis.
- Proven experience working with telecom network data.
- Solid knowledge of Machine Learning and Deep Learning techniques, including Reinforcement Learning and Neural Networks.
- Professional experience with Python and libraries such as NumPy and Pandas.
- Experience working with SQL and NoSQL databases.
- Strong analytical and problem-solving skills.
- English level B2 or higher (spoken and written).
- Only candidates with legal authorization to work in Spain will be considered.
Benefits
- Competitive salary
- 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).
- Cutting-edge projects in both national and international environments, making your growth global.
- Flexible working model: hybrid, remote or office-based.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
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