Lead Forecasting Engineer- job post

May 20, 2026

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Job Description

4.04.0 out of 5 stars

United States

Full-time

Job details

Job type

  • Full-time

BenefitsPulled from the full job description

  • 401(k)
  • Health insurance
  • Paid time off

Full job description

company 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

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

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

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