Lead, Systems Engineering- Statistician
Listed on 2025-12-21
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Engineering
L3
Harris Technologies is looking for a Lead, Systems Engineering (Statistician) in Canoga Park, CA. This role is part of the Aerojet Rocketdyne segment of L3
Harris’ Aerojet Rocketdyne segment, which provides propulsion and energetics for space launch, missile defense, and tactical missile and armament customers through domestic markets.
Lead, Systems Engineering (Statistician)
Job Code32203
LocationCanoga Park, CA
Schedule9/80:
Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off.
- Work under consultation only as the lead statistician, fully accountable for identifying and leading statistics assignments requiring in depth understanding of advanced statistical principles and a detailed understanding of hardware and its functions.
- 60% Apply advanced techniques to meet program needs, while also supporting program execution; expert knowledge and promote application of reliability and system safety throughout the enterprise; direct work within the discipline and function as a key customer interface.
- 25% Provide expertise to less experienced statisticians across a wide range of programs throughout the enterprise; lead technical review of statistical analysis products; support failure investigations; lead or direct proposal efforts; identify and lead discipline initiatives and coordination meetings.
- 10% Expertly document work in digital systems, reports and presentations; present results and process capabilities to large diverse audiences that may include customer and industry technical experts.
- 5% Create training on cutting-edge advanced statistical processes; advocate for the discipline by expanding influence on non-traditional applications.
- Ability to obtain a Secret U.S. security clearance.
- Bachelor’s Degree and minimum 9 years of prior relevant experience.
- Graduate Degree and a minimum of 7 years of prior related experience.
- In lieu of a degree, minimum of 13 years of prior related experience.
- Master's degree in Statistics is preferred.
- B.S. in Engineering, Mathematics, or Statistics is preferred.
- Experience with statistical software packages such as Minitab, SAS, JMP, @Risk, R, Python, and/or others.
- Technical writing skills.
- Familiarity with machine learning, Artificial Intelligence, and Bayesian methods.
- ASQ Certified Six Sigma Green or Black Belt.
- ASQ Certified Reliability Engineer.
- ASQ Certified Quality Engineer.
$125,000 - $232,000.
BenefitsHealth and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays.
Equal Opportunity EmployerL3
Harris Technologies is proud to be an Equal Opportunity Employer. L3
Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other protected group under federal, state, or local laws.
L3
Harris maintains a drug‑free workplace and performs pre‑employment substance abuse testing and background checks, where permitted by law.
Many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
Right To Work & E‑VerifyL3
Harris is an E‑Verify Employer. For information regarding your Right To Work, please for English or Spanish. For information on E‑Verify, please for English or Spanish.
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