General Atomics and Affiliated Companies Mid-Level Data Scientist/ Root Cause Engineer in San Diego, California

Job ID#: 21776BR

Company: General Atomics Aeronautical Systems

Title: Mid-Level Data Scientist/ Root Cause Engineer

Job Category: Engineering

City: San Diego

State: California

Full-Time/Part-Time: Full-Time Salary

Travel Percentage Required: 0% - 25%

Clearance Required?: Yes

Job Summary:

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

We have an exciting opportunity for a Mid-Level Data Scientist/Root Cause Engineer to join our Root Cause Analysis Engineering group in San Diego, CA.

This position is responsible for providing Root Cause Analysis (RCA) support to engineering and other departments. The position will report to the Root Cause Analysis supervisor in the Engineering Services organization. The Data Scientist/RCA Engineer is expected to possess a strong engineering background combined with excellent critical thinking skills and an affinity for evaluating large datasets in order to extract knowledge relevant to failure investigations. The primary focus will be in applying data mining techniques, performing statistical analysis, building high quality prediction systems integrated with our products, and developing clear, comprehensive presentations. The Data Scientist/RCA Engineer must also ensure compliance with applicable product standards, governing laws and regulations, and company quality system requirements.

Duties and Responsibilities

  • Develop fault trees to determine areas of focus for RCA activities

  • Must be able to interpret and comprehend engineering drawings, schematics, technical reports, and technical specifications for complex systems

  • Data mining using state-of-the-art methods from multiple sources using commercial and internally developed tools

  • Develop analytical tools and code

  • Select features, build, and optimize classifiers using machine learning techniques

  • Enhance data collection procedures to include information relevant for building analytic systems

  • Process, cleanse, and verify the integrity of data used for analysis

  • Perform ad-hoc data analysis and present results in a clear manner

  • Create automated anomaly detection systems and track performance on continual basis

  • Perform root cause analysis, problem solving, continuous improvement, and related corrective and preventive action activities as they relate to subsystem integrity

  • Failure investigation activities such as detailed data analysis, part teardown inspections, and failure mode identification

  • Generate and brief detailed technical presentations and reports

  • Develop, standardize, and manage department methods and processes related to RCA and subsystem integrity

  • Ensure compliance with technical standards

  • Provide input to the development of test procedures, operational procedures, design requirements, specifications, standards, test reports, and other products related to RCA investigation and findings

Clearance Level: Secret

Job Qualifications:

  • Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows; four or more years of experience with a bachelors degree or two or more years of experience with a masters degree. May substitute equivalent engineering experience in lieu of education.

  • Must have a complete understanding of engineering concepts, principles, codes, and theory; experience demonstrating a broad application of those concepts; and, expanding knowledge of principles, concepts, theory, and practices in related technical specialties.

  • Must possess the ability to understand new concepts quickly; apply them accurately throughout an evolving environment; organize, schedule, and coordinate work phases; and, determine the appropriate approach at the task level or, with assistance, at the project level to provide solutions to a range of complex problems.

  • Must have excellent communication, computer, documentation, presentation, and interpersonal skills, ability to work independently and as part of a team; able to perform complex tasks in one engineering area; and, lead a team of less experienced professional employees on semi-routine tasks.

  • Experience with Python, SQL, or similar programming language

  • Substantial knowledge of basic and advanced prediction models

  • Strong Microsoft Excel skills

  • Capable of interpreting engineering drawings, schematics, reports, and specifications

  • Personal Computer knowledge: MS Word; MS Excel, MS Project, etc.

  • Able to work extended hours as required

Desired Qualifications

  • Familiarity with Root Cause Analysis (RCA) techniques, Familiar Mod.e Effects Analysis (FMEA), Reliability Centered Maintenance (RCM), and/or MTBF calculations is preferred

  • Experience with aircraft system design, analysis, testing, and/or operations is desired

  • A Professional Engineering License is desirable

General Atomics and affiliated companies is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity/Affirmative Action Employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, gender expression, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law.