Data Engineering & ML Intern

About this job

DISA Technologies develops HPSA (High Pressure Slurry Attrition) mineral processing technology. Over several years of lab, pilot, and field testing we've accumulated a large body of test data, including feed characterization, particle size, chemistry, and process performance. This data is spread across many projects, sites, and file formats. Before we can use it in analytics and machine learning, it needs to be found, catalogued, and put into a consistent format. Together with the ML Engineer, you'll own the consolidation of our historical test data end-to-end, working from an inventory schema, format specification template, and tabular data template we provide. The goal is a governed, catalogued set of clean data files ready to load into our cloud data platform.…

This is a short summary.

Want to know if you're a fit? Check your CV against this role — free, in 30 seconds.

Most-requested skills in the United States

Based on 414 United States vacancies that list requirements, these are the skills employers ask for most often.

• Project Management35% of postings
• CAD22% of postings
• AutoCAD20% of postings
• Lean18% of postings
• MATLAB14% of postings
• Six Sigma12% of postings
• Quality Assurance10% of postings
• SolidWorks9% of postings

Similar jobs

• Software Engineer Embedded Systems I (Co-op) - United States · Cisco
• Software Engineer (Backend) · Cisco
• FPGA Hardware Engineer · Cisco
• Software Engineer Full Stack / Backend I (Co-op) - United States · Cisco
• Data Engineer - Lilly Medicine Foundry · Eli Lilly
• Principal AI/ML Engineer – Market Access · Eli Lilly