Staff Data Scientist

The Staff Data Scientist will apply advanced analytics and machine learning to broadband access network, service, and subscriber telemetry data. They will 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.

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 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 the 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

• Health Insurance
• Dental Insurance
• Vision Insurance
• 401k Matching
• Retirement Plan
• Generous Paid Time Off
• Flexible Spending Account
• Life Insurance

Tagged as: Data Analysis, Forecasting, Python, SQL