Comcast Data Analytics/Machine Learning Engineer Co-op

TpxPhiladelphia, PA
63d$32Onsite

About The Position

Program Overview 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. The National Traffic and Capacity Management (NTCM) team plays a critical role in ensuring Comcast's network infrastructure is scalable, efficient, and future-ready. NTCM is responsible for forecasting, planning, and optimizing network capacity across the national footprint, enabling the company to meet growing customer demand, support strategic initiatives like FDX and Genesis, and drive operational excellence. As a co-op on the National Traffic and Capacity Management (NTCM) team, you'll be part of the engine that keeps Comcast's network running smoothly and efficiently. NTCM is responsible for forecasting, planning,reporting and optimizing network capacity across the country—ensuring customers get the speed and reliability they expect. This is a unique opportunity to work on real-world network challenges, contribute to high-impact projects, and learn how one of the largest networks in the U.S. is managed and improved. What are some interesting problems the student will work on?  1. Network Forecasting & Planning Challenge: How do we predict where network demand will grow next? Co-op Role: Help refine ML forecasting models using historical traffic data and trends to predict future trend. 2. Dashboard Development Challenge: How do we reduce manual work and improve accuracy in reporting? Co-op Role: Work on automating recurring reports like KPI updatesusing tools like SQL, Python and Tableau. Where can this student make an impact?  1. Enhancing Network Visibility By helping build and refine dashboards and reports, the student enables teams across the company to see and understand network performance more clearly.Their work supports better decision-making around capacity planning. 2. Improving Forecast Accuracy Supporting forecasting models and planning tools helps ensure the network is prepared for future demand.Accurate forecasts reduce the risk of congestion and improve customer experience. 3. Streamlining Operations Automating reports and processes saves time for full-time engineers and analysts, allowing them to focus on strategic work.The student's contributions to automation help increase efficiency and reduce manual errors.

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 March 30, 2026, through September 18, 2026.
  • 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

Nice To Haves

  • SQL, Python, ETL, data pipeline automation, and analytics.
  • experience with AWS, Databricks, and BI tools (Tableau, Power BIetc).
  • experience with Git, CI/CD, unit test.
  • Experience with some of these tools: Pandas, Numpy, scikit-learn, tensorflow,scipy. docker, Kubernetes, GraphQL/REST APIs, JSON, Parquet, Javascript, MLflow, Apache Spark, SparkSQL,Pyspark
  • Strong analytical, debugging, and problem-solving skills.
  • Proven ownership of deliverables and adaptability to new technologies.
  • Excellent communication and collaboration skills.
  • Preferred Majors: math, data science, computer science, data analytics, engineering, science, finance, etc

Responsibilities

  • Build scalable data pipelines and BI tools to support network and product analytics.
  • Engineer data extraction, transformation, and enrichment processes across large datasets.
  • Build validation, testing process for data and machine learning processes
  • Document system architecture, processes, and specifications.
  • Support ad hoc analysis, ML model development, and production deployment.
  • Perform model tuning, testing and evaluate changes.

Benefits

  • 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.
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