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    Senior Scientist/NLP/Machine Learning/Data Mining Professional - bangalore, India - Career Makers

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    permanent Technology / Internet
    Description

    Major responsibilities:

    • Use statistics, NLP and machine learning techniques to create scalable solutions for business problems
    • Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
    • Design, experiment and evaluate highly innovative models for predictive learning
    • Work closely with software engineering teams to drive realtime model experiments, implementations and new feature creations
    • Work closely with operations staff to optimize various business operations
    • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
    • Track general business activity and provide clear, compelling management reporting on a regular basis
    • Research and implement novel machine learning and statistical approaches

    Basic Qualifications:

    • A MS in CS Machine Learning/NLP, Statistics, Operational Research or in a highly quantitative field
    • 3+ years of handson experience in predictive modeling and large data analysis
    • 3+ years of experience using R/SAS and SQL in a Linux/UNIX environment
    • 3+ years of experience with Python
    • Strong communication and data presentation skills
    • Strong problem solving ability

    Preferred Qualifications:

    • A PhD in CS Machine Learning/NLP, Statistics, Operational Research or in a highly quantitative field
    • 5+ years of industry experience in predictive modeling and large data analysis
    • Strong skills with Python and Java/C++
    • 1+ year distributed programming experience
    Machine Learning Scientist


    Major responsibilities:

    • Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems
    • Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
    • Design, develop and evaluate highly innovative models for predictive learning
    • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
    • Research and implement novel machine learning and statistical approaches
    Basic Qualifications

    • An MS/PhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field. PhD strongly preferred.
    • Industrial experience in predictive modeling and analysis, predictive software development
    • Strong Problem solving ability
    • Good skills with Java or C++, Perl/Python (or similar scripting language)
    • Experience in using R, Matlab, or any other statistical software
    • Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications
    • Strong communication and data presentation skills

    Preferred Qualifications :

    • 210 years of industrial experience in predictive modeling and analysis, predictive software development
    • Experience handling gigabyte and terabyte size datasets
    • Experience working with retail or ecommerce data
    • Experience working with distributed systems and grid computing
    • Publications or presentation in recognized Machine Learning and Data Mining journals/conferences
    )

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