Senior Data Scientist, Network Intelligence

About the Opportunit yOur client is transforming how large-scale network infrastructure is monitored and optimized through advanced machine learning and predictive analytics. As they continue investing in AI-driven network intelligence, they are seeking a Senior Data Scientist to build production-grade machine learning models that proactively identify network issues, improve operational efficiency, and enhance customer experience across complex telecommunications infrastructure

.This is an chance to work on high-impact, real-world machine learning problems at scale, leveraging modern data platforms and MLOps best practices while partnering closely with engineering and network operations teams

**.

What You'll**

DoAs a Senior Data Scientist, you'll lead the development and deployment of machine learning solutions that help create self-monitoring and increasingly self-optimizing network infrastructur e.

Key responsibilities inclu

- de:Design, develop, and deploy machine learning models for anomaly detection, predictive maintenance, capacity forecasting, and network performance optimizati
- on.Build scalable feature engineering pipelines using Python, PySpark, and Databric
- ks.Manage the end-to-end ML lifecycle using MLflow, including experiment tracking, model versioning, deployment, and retraini
- ng.Apply statistical modeling, time-series forecasting, anomaly detection, and predictive analytics techniques to large-scale telemetry and operational datase
- ts.Develop optimization and scoring models that prioritize network incidents, maintenance activities, and operational ri
- sk.Integrate ML models into production automation and observability pipelin
- es.Collaborate with Data Engineering teams to define feature datasets and ensure high-quality data pipelin
- es.Present technical findings and model performance to senior technical and business stakeholde




- rs.Mentor junior data scientists and help establish best practices across the te

**am.

What We're Looking**

- For7+ years of experience building and deploying production machine learning or data science soluti
- ons.Strong Python skills with experience using libraries such as pandas, scikit-learn, XGBoost, PyTorch, or TensorF

- low.Hands-on experience with Databricks, MLflow, Delta Lake, and modern MLOps workfl
- ows.Expertise in statistical modeling, anomaly detection, predictive analytics, and time-series forecast
- ing.Experience working with large-scale telemetry, event-driven, or streaming datas

- ets.Strong understanding of feature engineering and model lifecycle managem
- ent.Ability to communicate technical concepts clearly to both technical and non-technical stakehold
- ers.Experience mentoring engineers or data scientists is highly val

**ued.

Nice to**

- HaveTelecommunications, networking, or infrastructure analytics experi
- ence.Familiarity with network performance metrics such as throughput, latency, packet loss, RSRP, RSRQ, or

- SINR.Experience with reinforcement learning, simulation-based optimization, or advanced decisioning sys
- tems.Experience with Databricks Feature Store or similar feature management platf
- orms.Databricks Machine Learning certifica

- tion.Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related discip

**line.

Technology**

- Stack
- PythonP
- ySparkData

- bricks
- MLflowDelt
- a Lake
- pandasscikit
- -learnX
- GBoostPyTorch / Tens

**orFlow

Why Thi**

- s Role?Build production AI and machine learning solutions that directly impact large-scale critical infrastr

- ucture.Work with modern cloud and MLOps technologies on complex, high-volume data pr
- oblems.Influence technical direction while mentoring other data scie
- ntists.Partner with engineering, operations, and executive leadership to deliver measurable business

- impact.Join a collaborative team focused on solving challenging real-world problems using machine learning at

scale.

📌 Senior Data Scientist (Canada)
🏢 Arcadia
📍 Canada