Comcast Data Science & Analytics Co-op

Comcast•Philadelphia, PA

11h•Onsite

About The Position

Comcast's Drexel Co-op Program offers an exciting opportunity to gain hands-on experience, build lasting connections, and grow professionally in a dynamic and inclusive environment. This paid, 6-month immersive experience places students at the heart of our business, working alongside talented professionals on meaningful projects that contribute to real outcomes. As a trusted member of the team, you’ll gain exposure to the inner workings of a global media and technology company while developing skills that will serve you well in any career path. Your experience will include: Hands-On Learning & Impactful Work: Tackle real business challenges, collaborate across teams, and contribute ideas that drive results from day one. Community, Connection & Giving Back: Build meaningful relationships through social events, peer engagement, and shared experiences. You’ll also have the opportunity to give back through Team UP, Comcast’s volunteer initiative, deepening your connection to both your community and your fellow students. Mentorship & Support: Receive guidance from experienced professionals through our dedicated mentorship program, helping you navigate your co-op and beyond. Professional Development: Participate in a custom onboarding experience, a curated learning series, and networking events designed to help you build new skills, explore career paths, and gain insights from professionals from across the organization. At Comcast, we’re committed to investing in the next generation of innovators and leaders. Our Co-op Program is a transformative experience designed to help you grow, connect, and take the next step in your professional journey. Organization & Team Overview Enterprise Business Intelligence is a center of excellence comprised of Engineers, Analysts, Scientists, and Machine Learning experts working to translate Comcast’s data into actionable intelligence that drives profitable growth for the company. As a member of this team you’ll be at the forefront of developing data driven strategies to address business problems. Role Description Responsible for extracting knowledge and insights from high volume, high dimensional data to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. 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 independently with minimal-to-no supervision while also demonstrating the ability to lead projects and initiatives autonomously. What are some interesting problems the student will work on? For example: In your role, you will bridge the gap between development and operations. Trace defects through a cutting-edge service-oriented architecture to find root cause. Develop scripts and utilities to automate data collection from hundreds or thousands of nodes. Where can this student make an impact? For example: You’ll be working with the best and brightest minds in Comcast while we roll out the video delivery infrastructure that will power the next generation of television. Success in this role is characterized by a higher speed to market, with fewer customer-facing defects and outages.

Requirements

Currently pursuing a bachelor’s degree from Drexel University, with a cooperative learning track.
Available to work 40 hours per week for 6 months starting September 22, 2026, through March 26, 2027.
Authorized to work in the United States with no current or future sponsorship needs
Available to report in-person to the work location on the job posting
0-2 Years Relevant Work Experience

Nice To Haves

Proficiency retrieving data using SQL
Ability to articulate complex ideas in a simplified form
Understanding of data visualization concepts
Proficiency with Python and ML Programming frameworks
Understanding of statistical foundations for Experimentation
Understanding of predictive modeling concepts
Preferred Majors: Data Science, Statistics, Mathematics, Econometrics, Business

Responsibilities

Analyze and generate insights from large data sets and clearly communicate results
Works with large, noisy, and complex datasets to produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data.
Willing to learn and apply statistical modeling techniques (regression, decision trees, clustering, etc.)
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.
Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
Creates deliverables and presentations that report methodology and results of analysis.
Consistent exercise 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.