Lead Statistician - Reliability & AI Innovation

L3Harris Technologies, Inc.; Los Angeles (CA); On-site; USD 128,000 - 237,000; Full time

Benefits offered by this job

Health and disability insurance

401(k) match

Flexible spending accounts

Education assistance

Parental leave

Paid time off

Company-paid holidays

EAP

Job summary

L3Harris Technologies, Inc. in Canoga Park, CA is seeking a Lead Statistician to apply advanced statistical methods across a diverse product range and collaborate with engineers, statisticians, and managers to deliver robust statistical solutions.

The role demands ingenuity, strong delivery focus, and the ability to communicate results to non-statistical audiences while supporting design reviews and related engineering reviews.

Qualifications

• Bachelor’s Degree in Engineering, Mathematics, or Statistics and minimum 9 years of prior relevant experience.
• Graduate Degree in Engineering, Mathematics, or Statistics and a minimum of 7 years of prior related experience.
• In lieu of a degree, minimum of 13 years of prior related experience.

Responsibilities

• Apply advanced statistical techniques to meet program needs and guide program execution.
• Lead and mentor statisticians across programs; review statistical analyses and support investigations.
• Document work digitally and present results to diverse audiences including customers and industry experts.
• Create training on cutting-edge statistical processes and expand discipline influence.

Skills

Statistical analysis

Leadership

Communication

Education

Bachelor’s Degree in Engineering, Mathematics, or Statistics

Graduate Degree in Engineering, Mathematics, or Statistics

Tools

Minitab

SAS

JMP

@Risk

R

Python

Job description

L3Harris Technologies, Inc. in Canoga Park, CA is seeking a Lead Statistician to apply advanced statistical methods across a diverse product range and collaborate with engineers, statisticians, and managers to deliver robust statistical solutions.

The role demands ingenuity, strong delivery focus, and the ability to communicate results to non-statistical audiences while supporting design reviews and related engineering reviews.