Staff Data Scientist

About the role

The Calix platform enables Communication Service Providers (CSPs) of all sizes to transform and future-proof their businesses. Through real-time data, automation, and actionable insights delivered via Calix One — our cloud-first, AI-powered platform — CSPs can simplify operations, collapse cost, and accelerate innovation. Calix One brings together the automation of everything and the experience of one, empowering customers to deliver differentiated subscriber experiences while driving acquisition, loyalty, and revenue growth. This is the Calix mission: to enable CSPs of all sizes to simplify, innovate, and grow, strengthening both their businesses and the communities they serve.

We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.

Role Overview

As a Staff Data Scientist focused on Calix Cloud and Intelligence, you will apply advanced analytics and machine learning to broadband access network, service, and subscriber telemetry data. You 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.

Key Responsibilities

Calix Cloud - Analytics & AI

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

Calix Cloud - Platform & Scale

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.

Communication & Product Collaboration

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

Required Qualifications & Technical Skills

Education

PhD in Data Science or Computer Science is preferred

Data Science & Machine Learning

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

Programming & Data Analysis

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)

Broadband / Network Data Fundamentals

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

Analytical Thinking & Communication

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

Preferred Qualifications

Experience or research in broadband access networks, subscriber analytics, or network intelligence

Familiarity with Calix-relevant broadband technologies such as Fiber (PON), Cable (DOCSIS), and Wi-Fi telemetry

Experience with cloud-native data platforms (AWS, GCP, Azure) and ML deployment frameworks

Exposure to MLOps practices, including CI/CD, model monitoring, and lifecycle management

Knowledge of real-time analytics, streaming data, or large-scale data ecosystems

Publications or applied research in network analytics, anomaly detection, forecasting, or machine learning

The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience.

San Francisco Bay Area:

156,400 - 265,700 USD Annual

All Other US Locations:

136,000 - 231,000 USD Annual

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