Lockheed Martin is hiring an early-career Data Scientist to apply statistical analysis and AI solutions to aerospace operations. The role develops predictive models, scalable data-processing solutions, visualizations, and recommendations to improve production, quality, and decision-making.
Leverage and create AI solutions to transform aero operations by optimizing production, elevating quality, and enabling predictive modeling
Conduct exploratory research and statistical analysis to uncover meaningful patterns and latent predictive factors
Develop, test, and validate predictive models and algorithms using machine‑learning, deep‑learning, and optimization techniques
Design and implement scalable computing solutions (GPU, distributed, cloud) for large‑scale data processing
Create clear visualizations and actionable recommendations that support decision‑making
Collaborate with cross‑functional teams to translate analytical insights into product and process improvements
Perform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields. Work on datasets with applied statistics and machine learning algorithms; Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making; Develop predictive models and new algorithms to solve data / business problems; Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations
Qualification
Required
MUST BE A U.S. CITIZEN
The selected candidate must be able to obtain a secret clearance
Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML or related field
Experienced in Python and foundational machine learning concepts, with the ability to develop, train, and evaluate models
Experience in developing, training, and deploying deep learning models using machine learning frameworks
Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields
A collaborative engineer with strong expertise in applied statistics, machine learning, and data visualization
possess excellent problem‑solving skills
are able to communicate complex insights clearly to diverse stakeholders
Preferred
Familiarity with Large Language Models (LLMs) and/or Generative AI (GenAI)
Familiarity with GenAI Coding Assistants
Experience with agentic AI frameworks
Understanding of agile development methodologies and version control systems (e.g., Git)
Experience with data‑governance frameworks, metadata management, and data catalog tools
Experience with aircraft manufacturing processes
Strong organization and communication skills
Benefit
Medical
Dental
Vision
Flexible work arrangements and schedules (e.g., 4x10)
401(k) match
Paid time off
Holidays
Parental Leave
EAP
Flexible Spending Accounts
Education Assistance
Life Insurance
Short-Term Disability
Long-Term Disability
Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
Lockheed Martin is an aerospace technology company that develops military systems, aerospace products, and security technologies.
