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    Data Scientist - Seattle, United States - Conversica

    Conversica
    Conversica Seattle, United States

    3 weeks ago

    Default job background
    Description

    One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on

    Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies.

    YOUR RESPONSIBILITIES

    As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design.

    JOB REQUIREMENTS

    • Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics.
    • Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment.
    • Training in deep learning approaches and natural language processing
    • Advanced proficiency with Python for data analysis
    • Must be fluent in either keras or tensorflow
    • Experience with large data sets (10 million+ rows)
    • Ability to convey rigorous mathematical concepts and considerations to non-experts
    • Experience working in an agile methodology
    EDUCATION

    Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural Language Processing and Deep Neural Networks.

    We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
    Skills & Requirements Qualifications
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