Staff Data Scientist

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

PhD in Data Science or Computer Science is preferred

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

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