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 MS / PhD 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 journals / conferences
(ref : hirist.tech)
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Scientist Machine Learning • Bangalore
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