\\\\Description:\\\\ By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges\\\. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work\\\. With our employees as our priority, we provide diverse career opportunities designed to propel development and boost agility\\\. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work\\\. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility\\\. Your Mission is Ours\\\. Lockheed Martin Aeronautics is seeking a Full\\-time Early Career Data Engineer\\\. In this role, you will perform analysis and data trending for aircraft systems\\\. Create algorithms to find patterns in historical part removals and project impending part failures\\\. Conduct root cause investigations and support corrective action planning to enhance system reliability\\\. Evaluate conceptual and advanced designs for reliability performance and recommend improvements to optimize design efficiency\\\. Analyze supplier repair data and aircraft field data to calculate, track, and present aircraft performance metrics\\\. Create clear, compelling data visualizations to communicate trends and support engineering decisions\\\. Identify and recommend process improvements that increase team effectiveness and streamline analysis workflows\\\. Must be a US Citizen; this position will require a government security clearance\\\. This position is located at a facility that requires special access\\\. \\\\Basic Qualifications:\\\\ Bachelor's degree in computer engineering or aeronautical engineering\\\. Coursework in Python, Time Series Data, Machine Learning, Deep Learning, Data Correlation and Verification, and Interpretable Artificial Intelligence\\\. Experience in manipulation/analysis of data in spreadsheets \\(MS Excel Formulas, Pivot Tables, and/or VBA\\)\\\. Experience in formal presentation development, PowerPoint construct and delivery, and working in a team environment\\\. \\\\Desired Skills:\\\\ \\-Strong math background, with emphasis on statistical data analysis\\\. \\-Ability to perform detail\\-oriented work with a high degree of accuracy and quick delivery\\\. \\-Ability to apply statistical methods to analyze time series data including design of experiments, regression analysis, and hypothesis testing\\\. \\-Ability to develop and implement statistical models to predict outcomes of time series data\\\. \\-Experience using Python\\\. \\-Experience with Artificial Intelligence/Machine Learning \\(AI/ML\\)\\\. \\- Bachelors degree in Industrial Engineering or Electrical Engineering or a STEM discipline\\\. \\-Experience in using databases and/or visualizations \\(MS Access, HANA, Tableau, or SQL/Oracle\\)\\\. \\\\Security Clearance Statement:\\\\ This position requires a government security clearance, you must be a US Citizen for consideration\\\. \\\\Clearance Level:\\\\ Secret \\\\Other Important Information You Should Know\\\\ \\\\Expression of Interest:\\\\ By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match\\\. Should this match be identified you may be contacted for this and future openings\\\. \\\\Ability to Work Remotely:\\\\ Part\\-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility\\\. The specific weekly schedule will be discussed during the hiring process\\\. \\\\Work Schedules:\\\\ Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees\\\. Schedules range from standard 40 hours over a five day work week while others may be condensed\\\. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits\\\. \\\\Schedule for this Position:\\\\ 4x10 hour day, 3 days off per week \\\\Lockheed Martin is an equal opportunity employer\\\. Qualified candidates will be considered without regard to legally protected characteristics\\\.\\\\ \\\\The application window will close in 90 days; applicants are encouraged to apply within 5 \\- 30 days of the requisition posting date in order to receive optimal consideration\\\.\\\\ At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges\\\. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work\\\. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility\\\. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work\\\. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility\\\. If this sounds like a culture you connect with, youre invited to apply for this role\\\. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications\\\. \\\\Experience Level:\\\\ 4 yr and up College \\\\Business Unit:\\\\ AERONAUTICS COMPANY \\\\Relocation Available:\\\\ Possible \\\\Career Area:\\\\ Systems Engineering: Specialty Engineering \\\\Type:\\\\ Full\\-Time \\\\Shift:\\\\ First

A Bachelor's degree in computer engineering or aeronautical engineering is required, with coursework in Python, Time Series Data, Machine Learning, Deep Learning, Data Correlation and Verification, and Interpretable Artificial Intelligence. Experience in manipulating and analyzing data in spreadsheets using MS Excel Formulas, Pivot Tables, and/or VBA is necessary. The role also requires experience in formal presentation development, PowerPoint construction and delivery, and working within a team environment. A strong math background with an emphasis on statistical data analysis is desired, as is the ability to apply statistical methods to analyze time series data. Experience using Python and Artificial Intelligence/Machine Learning (AI/ML) is also listed as a desired skill.