Description
Parallel Wireless is hiring a Senior Data Scientist to develop non-real-time machine learning models and graph/statistical algorithms for Open RAN network optimization. The role focuses on clustering cells, detecting anomalies, forecasting load, building repeatable experimentation and model-deployment workflows, mining large-scale time-series and topology data, measuring model impact, and presenting recommendations to engineering and business leadership. Candidates need at least five years of applied data science or machine learning experience, strong Python skills, experience with large-scale data stores and ML deployment tooling, and a bachelor's degree in a relevant field or a master's degree in Electrical Engineering, Computer Science, or Software Engineering.
