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    Data Scientist II - Bengaluru, India - Condé Nast Technology Lab

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    Technology / Internet
    Description
    Senior Data Scientist


    Condé Nast is a premier media company renowned for producing the highest quality content for the world's most influential audiences, attracting over 100 million consumers across its industry-leading print, digital, and video brands.

    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 publishing the best consumer, trade, and lifestyle content.

    Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Condé Nast. Our mission is not only to inform readers but to ignite and nourish their passions.

    As a member of the Data Science and Machine Learning Engineering (DS/MLE) team, you will be the technical expert for a team that builds models for initiatives such as image recognition, recommender systems, NLP, segmentation, and user behaviors.

    The data scientist in this role should have computer vision expertise and will be driving work the team is doing in image searching.


    RESPONSIBILITIES :

    Responsibilities include, but are not limited to:
    Participate in model design, testing, and execution
    Work closely with data engineers and machine learning engineers to deliver products and analyses
    Develop advanced machine learning algorithms and proof of concepts
    Experiment and Innovate in applications of machine learning to Conde Nast's Business problems
    Provide technical expertise to junior team members


    MINIMUM QUALIFICATIONS
    Applicants should have a degree (B.S. or higher) in technical discipline or relevant professional experience
    4-8 years of Data Science experience in industry or academia
    Experience in one or more areas of advanced data science (NLP, Deep Learning, Computer Vision, etc.), Computer Vision strongly preferred
    Experience in statistical analysis and experiment design
    Software development skills with proficiency in Python

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