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To enable broadband service providers of all sizes to simplify, innovate and grow.
Senior Data Scientist
Location
California
Posted
108 days ago
Salary
$86.4K - $177.1K / year
Seniority
Senior
Job Description
Senior Data Scientist
Calix
• Analyze and model large-scale broadband telemetry and time-series data used by Calix cloud, including throughput, latency, packet loss, utilization, and device-level metrics, and many more. • Develop and validate ML models for Upsell, cross-sell, churn prevention, customer acquisition, anomaly detection, performance forecasting, fault classification, and capacity prediction that drive proactive network insights. • Build features and models supporting network health scoring, service quality monitoring, and subscriber Quality of Experience (QoE) analytics. • Apply advanced techniques such as time-series modeling, change-point detection, and probabilistic modeling to real-world broadband data. • Collaborate with data engineering and platform teams to develop and integrate models into Calix Cloud’s cloud-native analytics pipelines. • Perform EDA, feature engineering, and data preprocessing for scalable, production pipelines. • Help scale analytics and ML solutions across millions of access devices, subscriber endpoints, and Wi-Fi environments. • Design experiments and evaluate the business and operational impact of analytics on network performance and subscriber experience. • Build scalable ML pipelines and deploy models into production environments. • Communicate insights clearly to product, engineering, and customer-facing teams via dashboards, reports, and presentations. • Translate ambiguous product and operational problems into well-defined data science and ML solutions. • Follow best practices in model lifecycle management, including versioning, validation, and deployment monitoring.
Job Requirements
- PhD (completed or near completion) in Data Science, Computer Science, or related degree.
- 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 work with metrics such as latency, throughput, packet loss, utilization, and device-level signals.
- Understanding of noisy, incomplete, and delayed data common in broadband environments.
- Ability to reason about data across devices, subscribers, locations, and time windows.
- Strong problem-solving skills and ability to translate ambiguous product or network problems into analytical solutions.
- Clear written and verbal communication skills.
- Experience presenting insights through charts, dashboards, and reports.
Benefits
- As a part of the total compensation package, this role may be eligible for a bonus.
- For information on our benefits click here.
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