Job Title: Staff Data Scientist

Company Name: Calix

Job Details: Be,an,Early,Applicant,2,Locations,Remote,104K-212K,Annually,Senior,level

Job Url: https://builtin.com/job/staff-data-scientist/8470837

Job Description: Calix enables broadband service providers to simplify operations, grow revenue, and deliver exceptional subscriber experiences through Calix Cloud - a cloud-native platform powered by the Intelligence platform, which delivers AI-driven insights across broadband networks, services, and subscriber environments.Role OverviewAs 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.This role is ideal for PhD candidates with min 5 yrs of experience who want to translate research into production-grade AI capabilities embedded directly into Calix Cloud products.Key ResponsibilitiesCalix Cloud - Analytics & AIAnalyze 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 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 dataCalix Cloud - Platform & ScaleCollaborate 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 environments.Communication & Product CollaborationCommunicate 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 monitoringRequired Qualifications & Technical SkillsEducationPhD in Data Science or Computer ScienceData Science & Machine LearningStrong 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 classificationClustering and dimensionality reductionTime-series analysis and forecastingAnomaly detection and change-point detectionExperience with model evaluation, validation methods, and performance metricsProgramming & Data AnalysisStrong 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)Broadband / Network Data FundamentalsExperience 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 windowsAnalytical Thinking & CommunicationStrong 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 reportsPreferred QualificationsExperience 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 learningThe 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:132,300 - 211,600 USD AnnualSelect US Metros and States:115,000 - 184,000 USD AnnualOther US Locations:103,500 - 165,600 USD AnnualAs a part of the total compensation package, this role may be eligible for a bonus. For information on our benefits click here.