Comcast Principal Data Scientist in Philadelphia, Pennsylvania

Comcast 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 Comcast.

Summary:

Responsible for leveraging internal and external data to provide insights and information which supports a facts-based decision making process. Recognized as an expert in own area within organization. Provides leadership, mentoring, and guidance. May participate in the development of business strategy. Decisions are far-reaching in terms of setting precedents for the business and technology.

Core Responsibilities:

- Provides consultative direction for recommended solution design for data science solutions such as recommendation engines, propensity modeling, optimization, segmentation, image/video/audio recognition, etc.

- Leads the identification and adoption of latest technology and methodology developments to ensure we maintain an infrastructure to extract, manage, and analyze data in a scalable way, and to develop best in class risk mitigations, acquisition engines, profitability algorithms, and new product enhancements

- Create How-to documentation, white-papers, case-studies, and other educational materials to be shared internally and taught to the broader Data Science team

- Research, design, simulate and/or prototype new algorithms and use-cases that demonstrate innovative approaches to solving existing business problems

- Perform tests of predictive power for new features and datasets, and help design the data strategy roadmap

- Educate other departments on data science methodologies, concepts and algorithmic advancements

- Develop and improve existing automation processes/tools that are internally developed to create efficiency gains within the predictive modeling process

Education Level: Master's degree

Field of Study: Quantitative fields such as Economics, Statistics, Mathematics, Decision Science, Operational Research, Computer Science or Engineering.

Certifications:

Years of Experience: Generally requires 8-10 years related experience.

Skills:

- PhD preferred

- Proven record of work on significant and unique issues, where analysis of situation or data requires an evaluation of intangibles. Can look at the big picture and handle multiple projects at one time. Has good listening skills and demonstrates flexibility

- Advanced level proficiency with statistical probabilistic modeling techniques such as regression, decision trees, neural networks, support vector machines, supervised/unsupervised clustering techniques, etc.

- Expert theoretical knowledge of statistical modeling techniques and advanced applied skills in developing statistical targeting models using at least 2 of the following tools; SAS, R, KNIME, SPSS, Python, RapidMiner, KXEN, Bayesia, MATLAB, Statistica, Weka etc.

- Expert working within enterprise data warehouse environments platforms (Teradata, Netezza, Oracle, etc.) and working within distributed computing platforms such as Hadoop and associated technologies such as SQL, HQL, MapReduce, Spark (MLib, SQL, R Py), Storm, Yarn, Kafka, Sqoop and Hive

- Expert in at least 1 scripting and/or programming language such as Scala, Julia, C#, Python, Perl, Java, C

- Shares data with team. Makes themselves replaceable. Does not develop silo views. Is able to communicate/collaborate with internal and external contacts/vendors; understands context of work outside function

- Possesses a broad or deep scope of influence; is aware and responsive to higher level business drivers. Able to prioritize across teams and forge relationships with other teams. Drive and champion change; innovatively solve problems; is willing to take risks and contribute innovative ideas

Compliance: Comcast is an EEO/AA/Drug Free Workplace.

Disclaimer: The above information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is an EOE/Veterans/Disabled/LGBT employer