System Analyst 3

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 About the Role:   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 P latform E ngineers, SREs, I ncident M anager s, O perators and D evelopers 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 minds ets 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.   What You’ll Do:   Analyze, Design and tune machine learning models for big data processing through a multi tude of system analysis methods aligning with our design patterns in a cloud environment (AWS, Google, Azure)   System Testing and Quality Assurance with oversight of quality engineering   Apply NLP and ML techniques to classify and structure logs and unstructured alert messages   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   Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness   Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers   Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals   Conduct A/B testing, offline validation, and live performance monitoring of ML models   Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers, and leadership   Research and diagnose complex application problems and identifying system improvements in an enterprise environment.   Testing the system on a regular basis to ensure quality and function while, writing instruction manuals for the systems   Collaborate on the design of hybrid ML /AI + rule-based systems to support dynamic correlation and intelligent alert grouping   Document business process and change algorithms for continuous improvements for assessing complexity in patterns   Pr eparing cost benefit analysis on systems platform, and feature and the value chain attributed to the deployed feature and providing recommendations on features that are not used.   Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly   Participate in on-call rotations and provide operational support as needed   Qualifications:   Bachelor's or Master's degree in Computer Science , Data Science, Machine Learning, Statistics or a related field   5 + years of experience building and deploying ML solutions in production environments   2+ years working with AIOps, observability, or real-time operations data   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   Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink   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   Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows   Clear written and verbal communication skills to present findings to technical and non-technical stakeholders   Comfortable working across Git, Confluence, JIRA, & collaborative agile environments   Nice to Have:   Experience building or contributing to the AIOps platform (e.g., Moogsoft , BigPanda , Datadog, Aisera , Dynatrace, BMC etc.)   Experience working in streaming media, OTT platforms, or large-scale consumer services   Exposure to Infrastructure as Code (Terraform, Pulumi ) and modern cloud-native tooling   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   Experience using MLflow , SageMaker, or Airflow for ML workflow orchestration   Knowledge of LangChain , Haystack, RAG pipelines, or prompt templating libraries   Exposure to MLOp s practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME)   Experience with containerized model deployment using Docker or Kubernetes   Use of JAX, Hugging Face Transformers, or LLaMA /Claude/Command-R models in experimentation   Experience designing APIs in Python or Go to expose models as services and/or GraphQL   Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing   Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts   Certifications in cloud architecture, ML engineering, or data science specializations   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