Data Scientist
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 solving complex business problems by extracting knowledge and insights from large data sets, especially unstructured text.
Uses Large Language Models (LLMs) and other AI techniques to extract insights at scale from a range of rich of textual data sources. Enables exploration of this unstructured data with techniques like RAG, Knowledge Graphs, and advanced statistical analysis. Augments textual data with additional metadata to generate actionable insights and solutions.
Builds pipelines for efficient processing of these data, to enable fast and flexible business insights.
Explores emerging AI-based techniques, especially agentic workflows, that improve our CX, our products, and our go-to-market capabilities.
Aligns technical roadmap to business strategies, and ensures insights are actionable.
The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Works with moderate guidance in own area of knowledge.
Job Description
Core Responsibilities
- Interacts with CX, Strategy, Product, and other business-facing teams to identify questions and issues for data analysis and experiments.
- Generates actional insights from data quickly. Builds AI-driven processes that make these insights repeatable, flexible, and scalable.
- Synthesizes prompts and context by joining multiple data sources for LLM analysis; tracks accuracy and reliability of results
- Communicates insights effectively; uses data to drive improvement in the business. Engages with executive levels as appropriate.
- Enables non-technical users to explore unstructured data by building apps, agents, and other tools.
- Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
- Contributes technical idea