Staff Data Scientist

Job not on LinkedIn

🕒 April 9

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $136k - $231k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Calix

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

📡 Telecommunications

☁️ SaaS

🏢 Enterprise

💰 $50M Venture Round on 2009-08

Telecommunications • SaaS • Enterprise

Calix is a comprehensive solutions provider that focuses on enabling broadband service providers (BSPs) to simplify, innovate, and grow their businesses. Through its advanced broadband platform, Calix offers technologies like 10G-PON, 5G, Wi-Fi 7, and more to improve network operations, reduce downtime, and enhance the subscriber experience. The company provides managed services such as SmartLife and SmartHome, which help subscribers operate, secure, and enhance their connected lifestyles. Calix serves diverse provider types including telcos, cable operators, and municipal utilities, helping them deliver critical broadband connectivity and transform community access to digital services. With a focus on cloud technology, analytics, and transformation guidance, Calix empowers service providers to thrive in the digital age.

📋 Description

• Analyze and model large-scale broadband telemetry and time-series data, including throughput, latency, packet loss, utilization, and device-level metrics • Develop and validate machine learning models for upsell, cross-sell, churn prevention, customer acquisition, anomaly detection, performance forecasting, fault classification, and capacity prediction • Build features and models supporting network health scoring, service quality monitoring, and subscriber Quality of Experience (QoE) analytics • Apply time-series modeling, change-point detection, and probabilistic modeling to broadband data • Collaborate with data engineering and platform teams to integrate models into Calix Cloud’s cloud-native analytics pipelines • Perform exploratory data analysis, feature engineering, and data preprocessing for scalable production pipelines • Scale analytics and machine learning 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 to product, engineering, and customer-facing teams through dashboards, reports, and presentations • Translate ambiguous product and operational problems into defined data science and machine learning solutions • Follow best practices in model lifecycle management, including versioning, validation, and deployment monitoring

🎯 Requirements

• 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 regression and classification • Hands-on experience with clustering and dimensionality reduction • Hands-on experience with time-series analysis and forecasting • Hands-on experience with anomaly detection and change-point detection • Experience with model evaluation, validation methods, and performance metrics • Strong programming skills in Python • Familiarity with NumPy, pandas, SciPy, and 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 analyzing broadband network and service telemetry • Ability to work with 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 • 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 • Preferred: familiarity with Fiber (PON), Cable (DOCSIS), and Wi-Fi telemetry • Preferred: experience with AWS, GCP, Azure, and ML deployment frameworks • Preferred: exposure to MLOps, CI/CD, model monitoring, and lifecycle management • Preferred: knowledge of real-time analytics, streaming data, or large-scale data ecosystems • Preferred: publications or applied research in network analytics, anomaly detection, forecasting, or machine learning

🏖️ Benefits

• Bonus eligibility as part of the total compensation package • Benefits package (details available via employer benefits information)