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Mathematical Science Occupations
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Job Description
<p>Major responsibilities:
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<br/>- Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems
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<br/>- Analyze and extract relevant information from large amounts of company's historical business data to help automate and optimize key processes
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<br/>- Design, develop and evaluate highly innovative models for predictive learning
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<br/>- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
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<br/>- Research and implement novel machine learning and statistical approaches
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<br/>Basic Qualifications:
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<br/>- An MS/PhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field.
PhD strongly preferred.
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<br/>- 5-10+ years of industrial experience in predictive modeling and analysis, predictive software development
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<br/>- Strong Problem solving ability
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<br/>- Good skills with Java or C++, Perl/Python (or similar scripting language)
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<br/>- Experience in using R, Matlab, or any other statistical software
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<br/>- Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications
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<br/>- Strong communication and data presentation skills
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<br/>Preferred Qualifications :
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<br/>- 5-10+ years of industrial experience in predictive modeling and analysis, predictive software development
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<br/>- Experience handling gigabyte and terabyte size datasets
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<br/>- Experience working with retail or e-commerce data
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<br/>- Experience working with distributed systems and grid computing
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<br/>- Publications or presentation in recognized Machine Learning and Data Mining journals/conferences</p> (ref:hirist.tech)
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