Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
Job Summary
Responsible for planning and designing new software and web applications. Analyzes, tests and assists with the integration of new applications. Documents all development activity. Assists with training non-technical personnel. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as a resource for colleagues with less experience.
Job Description
We are seeking an experienced Sr. System Analyst to join our growing Global Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure.
You’ll work at the intersection of machine learning, artificial intelligence, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows.
This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome futuristic and innovative mindsets who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally.
Analyze, Design and tune machine learning models for big data processing through a multitude of system analysis methods aligning with our design patterns in a cloud environment (AWS, Google, Azure)
Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs
Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data
Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers, and leadership
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field
Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow)
Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark
Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs)
Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection
Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces
Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration
Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases, GraphDB
Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.)
Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event-based alerting tools
Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation)
Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data
Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME)
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years