Senior Data Science & AI Specialist

Job Description

• Closely work with the AI Lead to define organizations and customers vision, roadmap, and priorities for AI adoption and integration.
• Evaluate business needs and identify high‑value AI opportunities across functions.
• Explore new AI tools, technologies, and industry trends to ensure the organization stays ahead.
• Develop, train, and optimize machine learning models using state‑of‑the‑art algorithms and techniques.
• Process and analyze large datasets to extract meaningful features and insights.
• Build scalable ML pipelines and deploy models into production environments.
• Collaborate with data scientists, telco engineers, automation experts and product managers to understand business requirements and translate them into AI solutions.
• Monitor model performance and continuously improve accuracy, efficiency, and robustness.
• Stay updated on emerging AI/ML trends and tools to apply best practices.
• Document experiments, processes, and results clearly for knowledge sharing and reproducibility.
• Use traditional automation languages like python combined with ML models to create a final product beneficial for Network Planning and Optimization practices. Python practical experience is a must.

Interprets internal and external business challenges and recommends best practices to improve products, platforms, tools, processes and services using AI & Automation initiatives.

• Has in-depth organisational and relevant market knowledge and uses understanding on how relevant areas can be integrated to achieve objectives.
• Solves complex problems based on sophisticated analytical thought and complex judgment.
• Contributes to development of concepts to determine professional direction of own organisational unit.

• Bachelor’s or master’s degree in data science, Computer Science or related fields.
• A minimum of 12+ years of industry standard experience, 6-7 years work experience in software development/engineering projects, with minimum 2-3 years of AI/ML & Data Engineering experience.
• Strong programming skills in Python and familiarity with ML libraries.
• Experience with data manipulation and transformation, big data queries and handling larger datasets.
• Understanding of ML algorithms including supervised, unsupervised, and deep learning methods.
• Experience in interfacing python tools with relational databases – At least 1-2 of these (Click House, Presto, MySQL, Oracle, SQL Server, Postgres).
• Solid foundation in statistics and data analysis.
• Knowledge of cloud platforms (AWS, GCP, Azure) and experience with containerization (Docker, Kubernetes) is a plus.
• Strong problem‑solving skills and ability to work independently and collaboratively.
• Excellent Communication skills – English.
• Spanish and Portuguese is a plus – Optional.
• Good knowledge of 5G & LTE network architecture, and network optimization is a plus – Optional.

Not Applicable

Full‑time

Engineering and Information Technology

IT Services and IT Consulting and Telecommunications