Title: Data Engineer - 2886
Function: IS&T
Position Type: Regular, Full-Time
Pay Grade: 36/37
Pay Type: Exempt
US Citizenship Required: Yes

This opportunity is being offered by National Aerospace Solutions, the team selected by the U.S. Air Force to conduct Test and Operations Sustainment at the Arnold Engineering Development Complex (AEDC), Arnold Air Force Base, Tennessee. National Aerospace Solutions is a limited liability company comprised of Bechtel National Inc. (as lead company) and Sierra Lobo Inc. with teaming Subcontractors nLogic Inc. and Chugach Federal Solutions Inc. AEDC operates more than 55 aerodynamic and propulsion wind tunnels, rocket and turbine engine test cells, space environmental chambers, arc heaters, ballistic ranges and other specialized units located in six states. Many of the complex's test units have capabilities unmatched elsewhere in the United States; some are unique in the world. AEDC is one of three installations which are part of the Air Force Test Center (AFTC), one of six subordinate commands of the Air Force Materiel Command organization and an important national resource.

AEDC’s mission is to conduct developmental test and evaluation for the Nation through modeling, simulation, ground, and flight test. Execution of the mission requires a large team of highly qualified and dedicated professionals from multiple technical disciplines to effectively accomplish the objectives of our test customers.

Job Summary:
This job is to develop and apply statistical and modern analytical methods to improve operations and maintenance of the Arnold Engineering Development Complex (AEDC) air and space ground test equipment and facilities. The successful candidate will work as a member of the Information Systems and Technology group (IS&T) in the Test Operations Branch to lead implementation of data-centered projects to improve the AEDC ground test data infrastructure, facility operations, and business systems. The person selected for this role will work closely with multidisciplinary work teams throughout the NAS organization to identify opportunities for leveraging data to drive decisions and will help design and implement a data architecture working with database administrators and reliability engineers in the IT&S Branch.

Job Duties:

• Work to development and implement data-analytics strategies and programs for the IS&T project group’s initiatives.
• Utilize test data sources to optimize data analytics at AEDC and suggest ways which insights obtained might be used to inform testing sustainment and operational strategies.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Utilize machine learning tools to select features, create, and optimize classifiers.
• Define & develop approaches and demonstrate abilities to mine and analyze data from databases to drive optimization and improvement of data collected at AEDC.
• Identify and assess the effectiveness of new data analytics approaches, data sources and data gathering techniques.
• Utilize applicable experience in “big data”, analytics, algorithmic, custom data models, algorithms and/or machine learning approaches to help extract data that will help drive engineering decisions.
• Coordinate with Stakeholders to develop and implement Data Governance Plans.
• Coordinate with different multidisciplinary teams to implement models and monitor outcomes.
• Present information with effective visualization techniques.
• Define & develop processes and tools to monitor and analyze model performance and data accuracy.
• Define & develop the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
• Perform analysis on machinery failure data and work order processes, recommend adjustments where warranted.
• It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
• Performs other related duties as required.

Basic Qualifications:

• B.S. in Computer Science, Statistics, Mathematics, Engineering or another relevant engineering field from an accredited university program plus a minimum of 7 to 11 years of progressive and relevant experience
• Experience with data scripting languages or statistical/mathematical software to support probability and correlation analytic approaches.
• Experience with data extraction.
• Experience in developing and implementing data management solutions.
• Current U.S. Citizenship is required.

Preferred Qualifications

• Master’s or PhD degree in Computer Science, Statistics, Mathematics, Physics, Engineering or another relevant engineering field from an accredited university program.
• Demonstrated experience in a data analytics role applied to technical data in probability analyses and statistical analytics to gain insights using large data sources.
• Knowledge of data mining, analysis and collection techniques applied to operations and analysis, especially safety or operations process improvement.
• Experience using statistical computer languages (R, Python, SQL, etc.) to analyze data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Experience performing root cause analysis.
• Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Coding knowledge and experience with multiple languages
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
• Good interpersonal and communication skills, both written and verbal, including the preparation of technical reports is required.

Due to Air Force Security requirements, U.S. Citizenship is required for employment at AEDC.

NAS is an Equal Opportunity Employer of Minority/Women/Veterans/Disabled (AA/EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity and expression, pregnancy, physical or mental disability, genetic information, protected veteran status or any other characteristic protected by federal, state or local law.

Applicants with a physical or mental disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to careers@nas-llc.us. PLEASE DO NOT SUBMIT RESUMES to this address as they will not be considered for employment opportunities.