Lead Engineer - Data Science and Applied Statistics

at  General Electric

JOB DESCRIPTION SUMMARY

Lead the business to integrate statistical methods, probabilistic approaches, and modeling techniques to increase customer value, reduce uncertainty, and deliver quality products. This is an extremely collaborative role that requires providing rapid issue assessment, logical analysis, and clear presentation.

REQUIRED QUALIFICATIONS

• Bachelor’s Degree accredited college or university in Statistical Data Science, Industrial Statistics, Mathematics, Statistics (or a high school diploma / GED with a minimum of 4 years of experience in Statistical Data Science, Industrial Statistics, Mathematics, Statistics experience)

• Collaborate with metrology team to improve inspection processes, create standards and problem solve.
• Learn and understand metrology challenges to provide better impact with statistics
• Deliver analysis in all areas of Data Science and Applied Statistics with ability to assess Operations Research activities.
• Communicate to teams delivering design, manufacturing, assembly, test, field, and repair activities.
• Uses LEAN tools and approaches, including decision theory and problem solving.
• Facilitates a culture of psychological safety where all voices are heard, respected and encouraged.
• Leads projects through risk evaluation, consensus building, and collaborative decision making.