Data Scientist 3
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against Data Scientist 3 at Comcast. Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
Job Summary
Job Description
About the Role:
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. We
welcome curious minds 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:
- Design and tune machine learning models for event correlation, anomaly detection, alert
- Engineer features to enrich alerts using service relationships, business context, change history,
- 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
- Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze
- Collaborate with engineering teams to deploy models via API integrations, automate workflows,
- Contribute to the development of self-healing automation, diagnostics, and ML-powered
- Design and validate entropy-based prioritization models to reduce alert fatigue and elevate
- 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,
- Participate in incident postmortems, providing ML-driven insights and recommendations for
- Collaborate on the design of hybrid ML + rule-based systems to support dynamic correlation and
- Lead and support innovation efforts including POCs, POVs, and exploration of emerging AI/ML
- Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and
- 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
- 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
- Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g.,
- Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM),
- Experience managing structured + unstructured data, and building features from logs, alerts,
- 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,
- Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series
- Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps
- Clear written and verbal communication skills to present findings to technical and non-technical
- 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,
- 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, & eventbased alerting tools
- Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log
- Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based
- Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration
- Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries
- Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like
- Experience with containerized model deployment using Docker or Kubernetes
- Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in
- 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
- Certifications in cloud architecture, ML engineering, or data science specialization
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
Master'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
Ready to apply?
This job is active. Apply now to get in early.