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 ideas; shares techniques learned through project work or other experiences.
- Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
- Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models).
- Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.
- Builds customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data.
- Consistently exercises of independent judgment and discretion in matters of significance.
- Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
- Other duties and responsibilities as assigned.
#EBICareers
Employees at all levels are expected to:
- Understand our Operating Principles; make them the guidelines for how you do your job.
- Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
- Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
- Win as a team - make big things happen by working together and being open to new ideas.
- Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
- Drive results and growth.
- Support a culture of inclusion in how you work and lead.
- Do what's right for each other, our customers, investors and our communities.
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Skills
Data Analysis, Data Science, Machine Learning (ML)
Compensation
National Pay Range: $66,836.39 USD-$156,647.79 USD Illinois Pay Range: $71,013.67 USD - $137,850.06 USD Colorado Pay Range: $75,190.94 USD - $144,115.97 USD Hawaii Pay Range: $87,722.76 USD - $131,584.14 USD Washington DC Pay Range: $96,077.31 USD - $144,115.97 USD Maryland Pay Range: $79,368.21 USD - $144,115.97 USD Minnesota Pay Range: $75,190.94 USD - $131,584.14 USD New York Pay Range: $79,368.21 USD - $156,647.79 USD Washington Pay Range: $75,190.94 USD - $150,381.88 USD New Jersey Pay Range: $83,545.49 USD - $150,381.88 USD Vermont Pay Range: $79,368.21 USD - $125,318.23 USD Massachusetts Pay Range: $83,545.49 USD - $150,381.88 USD California Pay Range: $75,190.94 USD - $139,242.48
Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. 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.
The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
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.
Certifications (if applicable)
Relevant Work Experience
2-5 Years
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. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant’s criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment.
