Data Scientist - Huffington Post

Data ScientistUnspecified03/09/2015Huffington PostNew York City, New York, United StatesStatisticsAnalyticsMachine LearningOpen SourcePythonRRuby on RailsPerlBashSQLOur ideal candidate: Has an advanced degree in Computer Science or Statistics, applied mathematics, or other quantitative/computational discipline. (Phd preferred). 2 or more years experience with open source machine learning tools built in Python or R. 2 or more years experience with scripting languages (e.g., Python, Ruby, Perl,Bash) Data engineering experience, including SQL and manipulating large structured or unstructured datasets for analysis. Proven record of solving challenging problems in academia and/or industry. Solid Understanding of machine learning and predictive analytics Excellent communication skills and a desire to evangelize for data in the workplace.The Huffington Post, as one of the pioneers of digital journalism, wants to use the power of machine learning and analytics to foster a data driven newsroom that can thrive in this challenging albeit exciting environment. We are looking for passionate and excited data scientists to be part of this transformation. Job Description: As a part of our team, you will be utilizing enormous volumes of data to extract meaningful insights into our content and our audience. The ideal candidate will have a well-balanced blend of technical skills and statistical competence required to analyze and derive meaningful value from data, big or small. They should be able to work in a driven environment and exhibit creative thinking and collaboration. Responsibilities: Envision and build data products that can drive actionable insight in the newsroom. Interact with the key internal business stakeholders – Editorial, Business and Product – to understand needs and identify use cases that would benefit from application of machine learning or advanced statistical techniques. Research and productionalize machine learning applications or features that can can enhance HuffPost user products and editorial tools. Modeling, predicting, and classifying user behavior and other business metrics Communicate results and impact to newsroom stakeholdersApply