Job Location: Bangalore/Bengaluru
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 real-time 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 LearningNLP, Statistics, Operational Research or in a highly quantitative field
– 3+ years of hands-on experience in predictive modeling and large data analysis
– 3+ years of experience using RSAS and SQL in a LinuxUNIX environment
– 3+ years of experience with Python
– Strong communication and data presentation skills
– Strong problem solving ability
Preferred Qualifications:
– A PhD in CS Machine LearningNLP, 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 JavaC++
– 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 :
– 2-10 years of industrial experience in predictive modeling and analysis, predictive software development
– Experience handling gigabyte and terabyte size datasets
– Experience working with retail or e-commerce 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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