Description

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 company'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 MSPhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field. PhD strongly preferred. - 5-10+ years of 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 : - 5-10+ 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 journalsconferences

Role and Responsibilities

• 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 company'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 MSPhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field. PhD strongly preferred. - 5-10+ years of 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 : - 5-10+ 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 journalsconferences