Comcast Data Scientist 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. 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. In your role you will develop predictive models that power systems and provide insights to business leaders for critical decisions. You will measure and quantify the impact of business strategies on key business performance indicators. You will be working on exciting new technology that interjects AI and Machine Learning capabilities into core business processes to drive profitable growth for the company.

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
Proficiency with Python, PySpark, and ML programming frameworks
Proficiency retrieving data using SQL
Understanding of statistical foundations for Experimentation
Understanding of predictive modeling concepts
Ability to articulate complex ideas in a simplified form
Understanding of data visualization concepts and programming frameworks
Preferred Majors: Data Science, Statistics, Mathematics, Econometrics
0-2 Years Relevant Work Experience

Responsibilities

Interacts with product and service teams to identify questions and issues for data analysis and experiments.
Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
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).
Develops and executes statistical and mathematical solutions to business problems to support larger initiatives under the direction of senior team members.
Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.
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.
Develops and deploys predictive models based on historical data that provide future predictions about customer behavior.
Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data.
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.
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.
Consistent exercise of independent judgment and discretion in matters of significance.
Other duties and responsibilities as assigned.