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Data Science Fellow
Condé Nast
New York, NY, United States
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The Data Science team at Conde Nast is seeking to recruit for a 2018 Summer Fellowship here in New York, NY.
Brief Description
Condé Nast is home to many of the world's most-celebrated magazine and website brands. The company's reputation for excellence is the result of our commitment to publish the best consumer, trade and lifestyle content. Our brands include Vogue, Glamour, Vanity Fair, New Yorker, Wired, Epicurious, and many more.
The Data Science team at Conde Nast supports a range of ML/AI initiatives in the following areas: content (text, images and video) analysis, audience segmentation, personalization, and campaign forecasting/optimization.
What you’ll do
• Apply machine learning, NLP, and deep learning methods to massive data sets
• Prototype new algorithms, evaluate with small scale experiments, and later productionize solutions at scale
• Collaborate with a cross functional agile team of software engineers, data engineers, ML experts, and others to build new product features
Who you are:
• You are proficient in Python
• You are familiar with machine learning libraries or frameworks such as sklearn, keras, tensorflow, pytorch, spark-ml
• You have an active interest in Data Science, and Machine Learning
• You have some experience in Linux and Networking/HTTP
• You are familiar with DevOps cloud tools (Amazon, EC2, or Google Cloud)
• You have side projects or viewable public code on Github, Bitbucket, etc, especially involving machine learning
• You are currently pursuing a MS in Computer Science, Engineering, Mathematics or related technical discipline, with an expected graduation date of 2018 or 2019