Job ID: 41451

Title: Lead, Systems Engineer - Statistician

Location:

Canoga Park, CA, US, 91311

Job Title: Lead, Systems Engineering - Statistician
Job Code: 41451
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:

We are seeking a Statistician to join our Canoga Park, CA. Aerojet Rocketdyne is a major aerospace corporation responsible for the design, manufacture and operation of a number of critical US space and defense products.

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:

Applying 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.
Providing 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.
Expertly documenting 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.
Creating training on cutting-edge advanced statistical processes. Advocates for the discipline by expanding influence on non-traditional applications.
Have the ability to obtain a US LEVEL security clearance.

Basic 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.

Preferred Qualifications:

Master's degree in Statistics
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 California is $127,500 - $236,500. 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.

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