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Enterprise Business Intelligence Intern
Entertainment & Media Industry Company
Philadelphia, PA, United States
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Company Center Internship Program
Location: Philadelphia, PA
Company 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 Company.
Program Overview:
The Company Center Internship Program (CCIP) is an 11-week summer internship program based at our Philadelphia Headquarter location. The program is designed to identify high-caliber talent to build our organization with the best and the brightest students who come from a variety of sourcing channels, including on-campus career fairs, partner organizations, and direct applications. In this role you will immerse yourself into the Company culture, working side by side with innovative and talented Comcasters. You will cultivate meaningful relationships and develop strong interpersonal and business skills that will set you apart from your peers.
Additionally, your experience will include:
• Engagement: Working on creative, innovative, and thought-provoking projects within various business units at Company during your internship experience.
• Exposure: An inside look into the day-to-day operations of an organization at the cutting edge of media and technology.
• Professional Development: Exposure to a variety of professional development topics facilitated through our partners at Company University and senior leaders within the organization. These sessions include speaker series, skill-building workshops, and networking opportunities.
• Mentorship: Mentoring from fellow colleagues through the Empowering Future Leaders Program (EFLP) to help you navigate your experience, provide coaching, and expand your professional network.
• Fun: Continuously develop relationships with fellow interns through social activities, community building, and networking.
Role Overview:
Responsible for leveraging internal and external data to provide insights and information which supports a fact-based decision making process. Provides input into strategy, analysis methods, and tool selection. Works under general supervision and may require training and detailed instructions for assigned tasks.
Core Responsibilities:
• Interpret problems using existing procedures and framework using data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models).
• Develop and deploy 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.
• Produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data.
• Build customer centric models and optimization tools to support large scale projects that utilize online & offline data, structured & unstructured data, set top box data, and media/behavioral/attitudinal data.
Preferred Qualifications/Requirements:
• Currently enrolled and pursuing a Master's or PhD degree from a United States-based college or university with the Grad year of 2018 or 2019.
• Major: Economics, Statistics, Mathematics, Decision Science, Operational Research, Computer Science, Engineering, or related field
• Minimum 3.2 GPA
• Understanding of statistical modeling techniques such as regression, decision trees, neural networks, support vector machines, clustering techniques.
• Ability to develop statistical targeting models using SAS, R, Python, Weka, SPSS, MATLAB, etc.
• Understanding or experience working within an enterprise data warehouse environment, (including SQL, procedural SQL, and ETL) in a relational environments and MPP platforms (Teradata, Netezza, Oracle, etc.)
• Familiarity with distributed computing platforms, such as Hadoop, and associated technologies such as MapReduce, Spark, Yarn, and Hive
• Familiarity with at least 1 programming language such as Python, Scala, Julia, Java, C++, etc.
• Company is an Affirmative Action/EEO employer M/F/D/V
Company is an EOE/Veterans/Disabled/LGBT employer