Lead Forecasting Engineer

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.

Duties and Responsibilities:

• Lead the development of various forecasting algorithms for our enterprise application
• Generate statistical models for our enterprise application’s analytics / business intelligence (BI) offering
• Optimize and improve our enterprise application’s existing analytics offering
• Optimize and improve our enterprise application’s existing forecasting and material requirements planning (MRP) system
• Integrate new forecasting algorithms to be used throughout our software

Skills and Specifications:

• Experience in writing SQL queries against a relational database
• Experience in Python, R, or other Statistical Language
• Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks
• Experience in version control systems (preferably Git)
• Familiarity with basic statistics and regression algorithms (Experience with Microsoft Linear Regression in SQL Server is a plus)
• Familiarity with C# and ASP.Net is a plus
  
• Familiarity with front-end technologies and frameworks such as HTML, CCS, and JavaScript

Education and Qualifications:

• 2 - 5 years of relevant work experience
  
• BS, MS, or PhD degrees in Data Science, Computer Science, Statistics, or Engineering
• Must be a U.S. citizen
• Written and oral communication in English required
  

Competitive Benefits Package:

• Competitive compensation will be based on relevant work background
• Health Insurance and company paid health care spending account
  401(k)
• Holiday, personal, and vacation paid time off