What are the responsibilities and job description for the Senior Data Science & AI Specialist position at Nokia?
Job Description
Interprets internal and external business challenges and recommends best practices to improve products, platforms, tools, processes and services using AI & Automation initiatives.
- 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.
- 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.
- 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 – Atleast 1-2 of these (Clickhouse, Presto, MySQL, Oracle, SQL Server, Postgress)
- 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