Senior Scientist/NLP/Machine Learning/Data Mining Professional

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 Learning/NLP, 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 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 : - 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 (ref:hirist.tech)

Location: Bangalore, IN

Posted Date: 10/26/2024