We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
New

Senior Data Science & AI Specialist

NOKIA
US Annual Base Salary Range $ 128.982,61 - 239.539,13 USD *Plus, potential incentive/variable compensation for eligible roles
United States, Texas, Dallas
3201 Olympus Boulevard (Show on map)
Dec 24, 2025
  • 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

Applied = 0

(web-df9ddb7dc-h6wrt)