Title:  Lead, Systems Engineering- Statistician

Job Title: Lead, Systems Engineering (Statistician)

Job Code: 32203

Job Location: Canoga Park, CA

Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off

Job Description:

L3Harris’ Aerojet Rocketdyne segment is seeking a Statistician to join our Canoga Park, CA.  Aerojet Rocketdyne is a world-recognized aerospace and defense leader providing propulsion and energetics for space launch, missile defense, and tactical missile and armament customers through domestic markets.

The Statistician will apply statistical methods to a diverse product line and collaborates with other statisticians, engineers, and managers to provide statistics expertise for various engineering, operations, and business applications.  The role requires ingenuity and creativity to solve complex problems while meeting delivery commitments despite obstacles and constraints. The Statistician will exercise considerable latitude and sound business judgment in determining the necessary scope of statistical work and in defining technical objectives and solutions. They are expected to fully understand customer requirements and expectations, develop robust plans, and produce deliverables with first-time quality. Additionally, the Statistician will communicate analysis approaches and results to a non-statistical audience and present or support reviews such as design reviews, engineering review boards, and Flight Readiness Reviews.

Essential Functions:

• Working under consultation only, the lead statistician is fully accountable for identifying and leading Statistics assignments requiring in depth understanding of advanced statistical principles and a detailed understanding of the hardware and its functions. Job responsibilities include:
• 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 the 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. As required, 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.  Advocates for the discipline by expanding influence on non-traditional applications.
• Ability to obtain a Secret U.S. security clearance

Qualifications:

• 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.

Preferred Additional Skills:

• 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

In compliance with pay transparency requirements, the salary range for this role in the state of California is $125,000 - $232,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.