Title:  Data Scientist (Statistician)

Job Title: Data Scientist (Statistician)

Job Code: 26474

Job Location: West Palm Beach, FL

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 West Palm Beach, FL office.  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 limited general supervision, the statistician is fully accountable for independently performing Statistics assignments requiring a broad understanding of statistical principles and a working knowledge of Engineering principles and rocket engine fundamentals.  Job responsibilities include:

• 60% Promote statistical thinking by proactively offering statistical leadership and solutions to cross-functional teams supporting production and development programs. Utilize appropriate statistical data analysis, predictive modeling, and simulation tools to assist technical decision-making and anomaly resolution, including Bayesian methods.  Provide sampling recommendations, develop experimental designs and conduct analyses to support engineering product development and process improvement activities.  Build a return customer base with repeat consultation through exceeding expectations. Provide statistical expertise in support of reliability and risk assessment activities and business decision analysis. Documents work in reports and presentations, and present results to large diverse audiences that may include customer and industry technical experts.
• 30% Identify and lead Six Sigma efforts across various sites. Support development and implementation of statistical quality control methods for application to operations.
• 10% Contribute to Discipline growth by improving procedures, best practices, training, introducing state-of-the-art methods.  Develop new applications of existing statistical tools and techniques to apply to key focus areas.
• Ability to obtain a Secret U.S. security clearance

Qualifications:

• Bachelor’s Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 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

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