Data Scientist - Early Career

Lockheed Martin•Fort Worth, TX

5d•Hybrid

About The Position

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. The Prognostic Data Analytics team is seeking an entry level data scientist to perform multiple tasks across the Lockheed Martin Aeronautics Sustainment portfolio. Tasking would include but not limited to: Data analyses, machine learning application, data quality analyses, configuration management, distributed computing, statistical computations, and forecasting.

Requirements

Bachelor of Science degree in Engineering or a related technical discipline (Industrial, Mechanical, Aerospace, Electrical, Etc); Physics, Data Science, Data Analysis, Physics, or Mathematics (use of stochastic and deterministic data models) or related technical disciplines with an emphasis in modeling, data manipulation, and/or the application of mathematical and statistical methods to apply to business and risk management problems.
Must be a US Citizen; this position will require a government security clearance.
This position is located at a facility that requires special access.
Knowledge of Python and SAS languages

Nice To Haves

Computer programming experience with SAS or other high-level language.
Ability to query databases using Structured Query Language (SQL).
Experience with data visualization tools such as Tableau.
Ability to perform analysis via multi-criteria decision modeling including discrete event simulations, statistical & risk analysis, life-cycle cost analysis, performance & cost trade-offs, and business case analysis
Proficiency with MS Office tool suite.
Experience managing data quality and configuration control.
Coursework or previous experience analyzing supply chain networks.
Strong analytical skills and understanding of system databases, data elements and application software solutions to optimize data gathering and analysis