Apply advanced analytics and machine learning to broadband access network, service, and subscriber telemetry data.
Work closely with senior data scientists, engineers, and product teams to build models and insights that power network intelligence, service assurance, and subscriber experience analytics within Calix’s cloud platforms.
Analyze and model large-scale broadband telemetry and time-series data used by Calix Cloud.
Develop and validate ML models for Upsell, cross-sell, churn prevention, customer acquisition, anomaly detection, performance forecasting, fault classification, and capacity prediction.
Collaborate with data engineering and platform teams to develop and integrate models into Calix Cloud’s cloud-native analytics pipelines.
Communicate insights clearly to product, engineering, and customer-facing teams via dashboards, reports, and presentations.

Requirements

PhD in Data Science or Computer Science
Strong foundation in statistics, probability, and linear algebra
Experience working with large-scale time-series and telemetry datasets typical of broadband analytics
Hands-on experience with ML techniques, including: Regression and classification, Clustering and dimensionality reduction, Time-series analysis and forecasting, Anomaly detection and change-point detection
Experience with model evaluation, validation methods, and performance metrics
Strong programming skills in Python and familiarity with ML libraries NumPy, pandas, SciPy, scikit-learn
Strong SQL skills for large-scale data analysis
Ability to write clean, maintainable, and testable code
Experience with data preprocessing, feature engineering, and exploratory data analysis (EDA)
Experience in analyzing broadband network and service telemetry
Ability to reason about data across devices, subscribers, locations, and time windows

Benefits

As a part of the total compensation package, this role may be eligible for a bonus.
For information on our benefits click here.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningstatisticsprobabilitylinear algebratime-series analysisanomaly detectiondata preprocessingfeature engineeringexploratory data analysismodel evaluation

Soft Skills

communicationcollaborationproblem-solvinganalytical thinkingattention to detail

Certifications

PhD in Data SciencePhD in Computer Science