Senior Data Scientist – Network Intelligence

About the role

Parallel Wireless is looking for a Senior Data Scientist to lead the non‑real‑time, machine‑learning side of its Open RAN platform. You will turn massive network telemetry into models and analyses that continuously improve the platform’s intelligence.

Key responsibilities

• Design, build and enhance ML models and graph/statistical algorithms such as clustering, anomaly detection and time‑series forecasting to enable automated network optimization.
• Develop a repeatable experimentation and model‑deployment pipeline (e.g., using MLflow) that moves models from notebooks to production.
• Collaborate with the near‑real‑time engineering team to replace rule‑based decisions with adaptive learned models.
• Mine large‑scale time‑series and topology data stored in Elasticsearch, InfluxDB and MongoDB to discover patterns across thousands of cells and users.

Required profile

• Senior‑level data science experience with large‑scale telemetry data.
• Proven ability to translate research prototypes into production‑ready solutions.
• Experience working closely with engineering teams on integration of ML models.

Required skills

• MLflow (or comparable model‑deployment tooling).
• Elasticsearch.
• InfluxDB.
• MongoDB.