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. Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Acts as resource for colleagues with less experience.

We are seeking an experienced Data Scientist to join our growing 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, 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. Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference

Engineer features to enrich alerts using service relationships, business context, change history, and topological data

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

Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers

Conduct A/B testing, offline validation, and live performance monitoring of ML models

Participate in incident postmortems,



providing ML-driven insights and recommendations for platform improvements

Collaborate on the design of hybrid ML + rule-based systems to supportnamic correlation and intelligent alert grouping

Lead and support innovation efforts including POCs, POVs, and explorationemerging AI/ML tools and strategies

Participate in on-call rotations and provide operational support as needed

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),

Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces

Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases

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

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., 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

model monitoring, drift detection, explainability tools like SHAP or LIME)

Experience with containerized model deployment using Docker or Kubernetes

Experience designing APIs in Python or Go to expose models as services

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, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs).

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.

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. 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.

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 qualified experience.

Relevant Work Experience

📌 Data Scientist (Python, ML, SQL) (Chennai)
🏢 Comcast
📍 Chennai