Calix · 8 hours ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level
$110K/yr - $177K/yrCalix is a company that enables broadband service providers to simplify operations and enhance subscriber experiences through their cloud-native platform. The Senior Data Scientist will apply advanced analytics and machine learning to broadband telemetry data, collaborating with teams to develop models that improve network intelligence and service quality.
Telecom & CommunicationsBig DataSoftwareInformation TechnologyAnalyticsInfrastructureInternetTelecommunicationsVoIP
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
May be eligible for a bonus
Company
Calix
Calix provides the cloud, software, systems and services for service providers to simplify business, excite subscribers and grow value
Founded in 1999
1001-5000 employees
H1B Sponsorship
Calix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (37)
2024 (22)
2023 (25)
2022 (31)
2021 (19)
2020 (7)
Funding
Current Stage
Public CompanyTotal Funding
$100MKey Investors
Foundation Capital,Silicon Valley Bank,Sprout Group
2010-03-24IPO
2009-08-31Series Unknown· $50M
2003-02-07Series E· $50M
Leadership Team
Michael Weening
President and CEO, Member of the Board
Cory Sindelar
Chief Financial Officer
Recent News
2026-01-16
Company data provided by crunchbase