Parsed Structured
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{
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"description": "<p><span style=\"font-family: arial, helvetica, sans-serif;\">Technology Group International (TGI) is looking for an experienced data scientist with software development experience to join our development team. Your primary responsibility will be to lead the development of forecasting and statistical models for our enterprise application for manufacturers and distributors. You will work closely with the software, analytics, and decision systems listed in \"Duties and Responsibilities.” As Lead Forecasting Engineer, you will have a wealth of opportunities to contribute to the development of our enterprise application and play an integral role in the future direction of our technology stack.</span></p>\r\n<p><br></p>\r\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-weight: bold;\">Duties and Responsibilities:</span></p>\r\n<ul>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Lead the development of various forecasting algorithms for our enterprise application </span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Generate statistical models for our enterprise application’s analytics / business intelligence (BI) offering</span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Optimize and improve our enterprise application’s existing analytics offering </span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Optimize and improve our enterprise application’s existing forecasting and material requirements planning (MRP) system</span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Integrate new forecasting algorithms to be used throughout our software</span></li>\r\n</ul>\r\n<p><span style=\"font-family: arial, helvetica, sans-serif;\"> </span></p>\r\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-weight: bold;\">Skills and Specifications:</span></p>\r\n<ul>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Experience in writing SQL queries against a relational database </span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Experience in Python, R, or other Statistical Language</span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks </span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Experience in version control systems (preferably Git)</span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Familiarity with basic statistics and regression algorithms (Experience with Microsoft Linear Regression in SQL Server is a plus)</span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Familiarity with C# and ASP.Net is a plus</span><br></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Familiarity with front-end technologies and frameworks such as HTML, CCS, and JavaScript </span></li>\r\n</ul>\r\n<p><span style=\"font-family: arial, helvetica, sans-serif;\"> </span></p>\r\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-weight: bold;\">Education and Qualifications:</span></p>\r\n<ul>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">2 - 5 years of relevant work experience</span><br></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">BS, MS, or PhD degrees in Data Science, Computer Science, Statistics, or Engineering</span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Must be a U.S. citizen</span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Written and oral communication in English required</span><br></li>\r\n</ul>\r\n<p><span style=\"font-family: arial, helvetica, sans-serif;\"> </span></p>\r\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-weight: bold;\">Competitive Benefits Package:</span></p>\r\n<ul>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Competitive compensation will be based on relevant work background</span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Health Insurance and company paid health care spending account</span><br><span style=\"font-family: arial, helvetica, sans-serif;\">401(k)</span></li>\r\n<li><span style=\"font-family: arial, helvetica, sans-serif;\">Holiday, personal, and vacation paid time off</span></li>\r\n</ul>",
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