Job Title: Data Analytics Engineer - 2556A Function: Engineering Position Type: Regular, Full-Time Pay Type: Exempt Grade: 32/33
US Citizenship Required
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 AEDC air and space ground test equipment and facilities. This position will work as a member of the Reliability Engineering group in the Asset Health Assurance (AHA) Branch to lead implementation of data-centered projects to improve the AEDC ground test infrastructure, facility operations, and business systems. This position will work closely with multidisciplinary work teams throughout the NAS organization to identify opportunities for leveraging data to drive decisions. This position will help design and implement a data architecture working with database administrators and reliability engineers in the AHA Branch.
Job Duties: Under the guidance and direction of a more senior engineer:
Work with AHA Reliability Engineering section manager for the development and implementation of data-driven projects
Utilize facility data Historian and business system data to optimize operations and maintenance at AEDC and suggest ways which insights obtained might be used to inform sustainment and operational strategies.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Mine and analyze data from databases to drive optimization and improvement of operations and maintenance at AEDC
Identify and assess the effectiveness of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Use predictive modeling to increase component and system reliability, guiding better use of labor and dollar resources directed at the highest priority operations
Coordinate with different multidisciplinary teams to implement models and monitor outcomes
Present information with effective visualization techniques.
Develop processes and tools to monitor and analyze model performance and data accuracy
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
B.S. in Computer Science, Statistics, Mathematics, Engineering or another relevant field from an accredited university plus a minimum of 0 to 3 years of progressive and relevant experience
Experience with data scripting languages (e.g. SQL, Python, R, etc.) or statistical/mathematical software (R, SAS, or Matlab)
Current U.S. Citizenship is required.
Master’s degree in Computer Science, Statistics, Mathematics, Engineering or another relevant field from an accredited university
Demonstrated experience in a data analytics role
Knowledge of data mining, analysis and collection techniques applied to operations
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
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, citizenship, genetic information, protected veteran status or any other characteristic protected by federal, state or local law.
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