[Remote] Staff Data Scientist

Note: The job is a remote job and is open to candidates in USA. Calix is a company focused on transforming Communication Service Providers' businesses through innovative cloud solutions. The Staff Data Scientist will apply advanced analytics and machine learning to broadband access network data, collaborating with teams to build models that enhance network intelligence and subscriber experience.ResponsibilitiesAnalyze 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 moreDevelop 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 insightsBuild features and models supporting network health scoring, service quality monitoring, and subscriber Quality of Experience (QoE) analyticsApply advanced techniques such as time-series modeling, change-point detection, and probabilistic modeling to real-world broadband dataCollaborate with data engineering and platform teams to develop and integrate models into Calix Cloud’s cloud-native analytics pipelinesPerform EDA, feature engineering, and data preprocessing for scalable, production pipelinesHelp scale analytics and ML solutions across millions of access devices, subscriber endpoints, and Wi-Fi environmentsDesign experiments and evaluate the business and operational impact of analytics on network performance and subscriber experienceBuild scalable ML pipelines and deploy models into production environmentsCommunicate insights clearly to product, engineering, and customer-facing teams via dashboards, reports, and presentationsTranslate ambiguous product and operational problems into well-defined data science and ML solutionsFollow best practices in model lifecycle management, including versioning, validation, and deployment monitoringSkillsPhD in Data Science or Computer ScienceStrong foundation in statistics, probability, and linear algebraExperience working with large-scale time-series and telemetry datasets typical of broadband analyticsHands-on experience with ML techniques, including: Regression and classification, Clustering and dimensionality reduction, Time-series analysis and forecasting, Anomaly detection and change-point detectionExperience with model evaluation, validation methods, and performance metricsStrong programming skills in Python and familiarity with ML libraries NumPy, pandas, SciPy, scikit-learnStrong SQL skills for large-scale data analysisAbility to write clean, maintainable, and testable codeExperience with data preprocessing, feature engineering, and exploratory data analysis (EDA)Experience in analyzing broadband network and service telemetryAbility to work with metrics such as latency, throughput, packet loss, utilization, and device-level signalsUnderstanding of noisy, incomplete, and delayed data common in broadband environmentsAbility to reason about data across devices, subscribers, locations, and time windowsStrong problem-solving skills and the ability to translate ambiguous product or network problems into analytical solutionsClear written and verbal communication skillsExperience presenting insights through charts, dashboards, and reportsExperience or research in broadband access networks, subscriber analytics, or network intelligenceFamiliarity with Calix-relevant broadband technologies such as Fiber (PON), Cable (DOCSIS), and Wi-Fi telemetryExperience with cloud-native data platforms (AWS, GCP, Azure) and ML deployment frameworksExposure to MLOps practices, including CI/CD, model monitoring, and lifecycle managementKnowledge of real-time analytics, streaming data, or large-scale data ecosystemsPublications or applied research in network analytics, anomaly detection, forecasting, or machine learningBenefitsBonusCompany OverviewCalix provides the cloud, software, systems and services for service providers to simplify business, excite subscribers and grow value It was founded in 1999, and is headquartered in San Jose, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.calix.com.Company H1B SponsorshipCalix has a track record of offering H1B sponsorships, with 11 in 2026, 36 in 2025, 22 in 2024, 24 in 2023, 31 in 2022, 19 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.