Lockheed Martinposted about 1 month ago
Full-time • Mid Level
Watauga, TX
Transportation Equipment Manufacturing

About the position

Within the Lockheed Martin Aeronautics Sustainment organization, this Data Scientist Analyst Sr, level 3 position will work with a talented group of technical individuals supporting the F-22 program. This Sustainment Spares Modeling, Simulation, and Forecasting position will perform exploratory research and analysis to identify novel and meaningful relationships, patterns, or trends from complex data sets and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, machine learning algorithms, optimization, and other similar fields. They should have demonstrable experience in developing predictive models and new algorithms to solve data / business problems; understanding the math and statistics behind the models and interpret, extrapolate, and prescribe from data delivering actionable recommendations using effective visualizations to influence business strategic decision-making.

Responsibilities

  • Collaborate across internal teams and with external customers to assess and plan for spares needs that support mission readiness.
  • Apply modeling & simulation technical principles, concepts and techniques to assess performance to contractual Key Performance Indicators.
  • Support coordination and development of problem statements, modeling approaches and ground rules and assumptions (GR&A).
  • Support internal planning by tracking team deliverables and identifying risks or opportunities for better performance.
  • Provide model-driven recommendations that enable quick, informed decisions by execution teams and leadership.
  • Drive continuous improvement by identifying and implementing process automation solutions and efficiency enhancements.
  • Analyze fielded performance developing solutions to assigned problems for the purpose of forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions.
  • Participate in frequent customer engagements and provide data insights that align with their sustainment needs.

Requirements

  • 5 Years of technical experience in Aerospace Engineering (or a related technical discipline: Industrial, Mechanical, Aerospace, Electrical, Etc), Data Science, Data Analysis, Physics, or Mathematics (use of stochastic and deterministic data models); emphasis in modeling, data manipulation, and/or the application of mathematical and statistical methods to apply to business and risk management problems.
  • Experience with/knowledge of (one or more common languages e.g., Python, SQL, and R), statistics (descriptive and inferential), data processing and data visualization.
  • Experience with critical interactions and relationships between cross-functional teams (i.e. engineering, sustainment, contracts, business management, finance, and/or aerospace program office).
  • Strong analytical and problem-solving skills and understanding of system databases, data elements and/or application software solutions to optimize data gathering and analysis.
  • Excellent written and verbal communication skills.
  • Proficiency with MS Office tool suite.

Nice-to-haves

  • Experience collecting and compiling datasets from disparate data sources into the required data structure (SQL and NO SQL based), data 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.
  • Experience managing data quality and configuration control.
  • Ability to interact with the customer to work through data issues and discrepancies.
  • Ability to work in a collaborative and team-based environment.
  • Desire to learn data management, reporting and data architecture, information architecture, data analytics, programming, and information technology systems.
  • Experience mining, processing, summarizing and visualizing data.

Benefits

  • Flexible work schedules.
  • Comprehensive benefits investing in your future and security.
  • Paid Time off benefits.
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