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 opportunity 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

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

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