Media · Telecom + media
Currently tracking 25 active AI roles, up 183% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $115k–$451k (avg $239k).
| Title | Stage | AI score |
|---|---|---|
| Comcast Data Science & Analytics Co-op This co-op role focuses on extracting knowledge and insights from large, complex datasets using data preparation, modeling, analysis, and visualization techniques. The role involves applying advanced statistical analysis, algorithms, predictive modeling, and machine learning to solve business problems and enhance products, with a focus on data preparation and analysis. | Data | 7 |
| AI / Data Engineer 4 – Comcast Global Audit AI/Data Engineer responsible for building, supporting, and maintaining a modern audit data platform that supports advanced data analytics, automation, and artificial intelligence. Focuses on designing scalable, resilient data pipelines and AI solutions with an emphasis on automation, quality, governance, and observability. | Data |
| Developer 4, Finance Technology Automation & AI This role focuses on leading AI research, discovery, and development within Finance Technology Automation & AI at Comcast. The primary responsibility is to translate emerging AI capabilities into scalable, production-ready solutions that align with enterprise standards. The role also involves acting as a technical partner to finance users, identifying automation opportunities, prototyping AI solutions, and driving adoption of AI tooling. Additionally, the role contributes to cross-functional forums, provides technical leadership and mentorship, and ensures the integrity and alignment of the functional platform with business needs. | Data | 7 |
| Senior Data Engineer-3366 Senior Data Engineer responsible for designing, maintaining, and automating data pipelines and ETL processes using various technologies including PostgreSQL, BigQuery, PySpark, Python, Glue, and Airflow. The role involves processing data on cloud platforms (AWS, GCP), developing data visualizations, performing data analysis for optimization and insights, and collaborating with data scientists and engineers on AI/ML techniques for WiFi CX optimization. The position also requires building business insights, solving critical issues, and mentoring junior engineers. | Data | 5 |