Data Scientist - Network Intelligence

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!