Data Scientist - Network Intelligence

Description About Webbing Webbing is a global connectivity provider delivering cellular and IoT data services across 190+ countries. Our infrastructure generates massive volumes of network signaling, session, and performance data — and we use that data to make smarter routing, pricing, and better customer experience. The Role We're looking for a Data Scientist to turn our network data into a competitive advantage. You'll work directly with terabytes of telecom signaling, session, and usage data to build models that improve network selection, detect anomalies, optimize cost-per-gigabyte, and surface insights that shape product and commercial strategy. This is a high-impact role sitting at the intersection of ML, telecom engineering, and business decision-making. What You'll Do · Design and deploy machine learning models on network data — including network selection optimization, churn and usage prediction, fraud and anomaly detection, and QoS/QoE forecasting. · Analyze CDRs, signaling events (Diameter, GTP, SIP), session logs, and radio-level metrics to identify performance issues, cost drivers, and growth opportunities. · Partner with the Network Operations and Product teams to translate raw telemetry into actionable signals — e.g., which carrier to steer traffic to in a given country at a given hour. · Build forecasting and segmentation models that inform pricing, capacity planning, and customer lifecycle strategy. · Own analyses end-to-end: framing the business question, exploring the data, building the model, validating it, and communicating findings to both technical and executive audiences. · Define and track KPIs for network quality, customer experience, and commercial performance, and build dashboards that make those metrics visible across the company. · Mentor junior data scientists and analysts, and help raise the bar on data science practices, code quality, and experimentation rigor. Requirements What We're Looking For 5+ years of hands-on data science experience, ideally with exposure to telecom, networking, IoT, or large-scale event/log data. Strong applied ML background: classification, regression, time-series forecasting, anomaly detection, clustering, and a working understanding of when to use what. Expert SQL and strong Python (pandas, scikit-learn, PyTorch, or TensorFlow). Comfort with big-data tooling such as AWS Lakehouse, Redshift, and others. Track record of shipping models into production and measuring their business impact, not just building notebooks. Strong analytical storytelling — you can take a noisy dataset and turn it into a clear narrative for a non-technical stakeholder. Telecom and networking concepts — cellular architecture (2G/3G/4G/5G), roaming, IMSI/IMEI, HLR/HSS, signaling protocols, QoS metrics. If you don't have this yet but have worked on similarly complex network/log data, we'd still like to talk. Excellent written and spoken English. Nice to Have Familiarity with streaming data (Kafka, Flink) and real-time inference. Background in pricing, revenue management, or unit economics analysis. MSc or PhD in Computer Science, Statistics, EE, Physics, or a related quantitative field. About Webbing Webbing is a global connectivity provider offering services in the Internet of Things (IoT) and Enterprise Mobility space. As an innovative mobile carrier, Webbing provides an unmatchable enterprise grade solution for Fortune 500 & IoT/M2M companies, as well as an embedded solution for various manufacturers across the globe, to ensure a secured and continuous internet connection for all devices, no matter where they are in the world. What we offer Hybrid work Work life balance Parking Medical insurance Food allowance Cellular plan Unlimited data plan for traveling Discount memberships Growth opportunities Professional development budget Global company- working and collaborating with amazing people around the world Fun working environment & company activities And of course, air hockey, pool table, and ping-pong tournaments!