Senior Data Science, AI Specialist
Nokia
full-time
Posted on:
Location Type: Hybrid
Location: Dallas • Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $128,983 - $239,539 per year
Job Level
Senior
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesMySQLOraclePythonSQL
About the role
- 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
Requirements
- 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**
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata analysisdata manipulationbig data queriesPythonML algorithmssupervised learningunsupervised learningdeep learningstatistics
Soft skills
problem-solvingindependent workcollaborative workcommunication