Comcast Data Science & Analytics Co-op

Your experience will include:

• Hands-On Learning & Impactful Work: Tacklereal businesschallenges, 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 alsohave the opportunity togive back through Team UP, Comcast’s volunteer initiative, deepening your connection to both your community and your fellowstudents.

• Mentorship & Support: Receive guidance from experienced professionals through our dedicated mentorship program, helping you navigate yourco-opand beyond.

• Professional Development:Participatein 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’recommitted to investing in the next generation of innovators and leaders. OurCo-opProgram is a transformative experience designed to help you grow, connect, and take the next step in your professional journey.

Organization& TeamOverview

Enterprise Business Intelligence is a center of excellencecomprisedof 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 thisteamyou’llbe 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,developsand programs methods, processes, and systems toconsolidateand 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 alsodemonstratingthe ability to lead projects and initiatives autonomously. 

What are some interesting problems the student willwork on? 

For example: In your role, you will bridge the gap between development and operations.  Trace defects through acutting-edgeservice-orientedarchitecture to find rootcause. Develop scripts and utilities to automate data collection from hundreds or thousands of nodes. 

Where can this student make an impact? 

For example:You’llbe 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.  

Job Responsibilities

Responsibilities include but are not limited to:

• 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.

• Willingto learn and apply statistical modeling techniques (regression, decision trees, clustering, etc.)

• Uses analytical rigor and statistical methods to analyzelarge amountsof 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 toidentifytrends in large data sets.

• Researchesand applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.

• Creates deliverables and presentations that reportmethodologyand results of analysis.

• Consistent exercise of independent judgment and discretion in matters of significance.

• Regular,consistentand punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.

• Other duties and responsibilities as assigned.

PreferredSkills

• Proficiencyretrieving data using SQL

• Ability to articulate complex ideas in a simplified form

• Understanding of data visualization concepts

• Proficiencywith Pythonand ML Programming frameworks

• Understanding of statistical foundations for Experimentation

• Understanding of predictive modeling concepts

• Preferred Majors:Data Science, Statistics, Mathematics, Econometrics, Business

MinimumQualificationsand Eligibility Requirements

• Currentlypursuing a bachelor’s degree from Drexel University, with a cooperative learning track.

• Available to work40 hoursper week for 6 months startingSeptember 22,2026,throughMarch 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