Data Scientist Intern -Data Scientist Intern -Philadelphia, PA -Requisition #:175659 -Job Type:Intern -Location:Philadelphia, PA -Team:Campus -Pub Date:6/12/18 Program Overview: The Comcast Center Internship Program (CCIP) is an internship program based at our headquarters in Philadelphia, PA 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 Comcast 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. As an intern in the program, you would expect to work a 30-40 hour/week schedule. Additionally, your experience will include: -Engagement:Working on creative, innovative, and thought-provoking projects within various business units at Comcast during your cooperative experience -Exposure:An inside look into the day-to-day operations of an organization at the cutting edge of media and technology. -Professional development:You will be exposed to a variety of professional development topics facilitated through our partners at Comcast University and senior leaders within the organization. These sessions are inclusive of 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 Intern will be responsible for leveraging internal and external data to provide insights and information which supports a fact-based decision making process. As well as provide input into strategy, analysis methods, and tool selection. Intern will: -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 -Construct 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 2019 or 2020 -Major: Economics, Statistics, Mathematics, Decision Science, Operational Research, Computer Science and Engineering -Minimum GPA: 3.2 -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. -Must be proficient in Microsoft Word, Microsoft Excel, Microsoft Outlook, Microsoft Access, Adobe Photoshop -Experience with Microsoft Excel, required -Proficiency in Adobe InDesign is a plus, but not required -Must have excellent time management and verbal/written communication skills -Must have great attention to detail and organizational skills -Must have ability to interface with all levels of management -Must be able to work evenings (when necessary) -Willingness to learn and work in a fast-paced environment. -Strong interest in the telecommunications, cable and media industries. -Ability to work on a team. -Authorized to work in the United States of America. -Comcast is an Affirmative Action/EEO employer M/F/D/V