Data Scientist Asc

Lockheed Martin

Fort Worth, TXFresher1h agovia LinkedIn

This job at a glance

Who can apply
New grads, no experience needed · Bachelor's degree
Must know
StatisticsOperationsData structures & algorithmsBusiness analysisMachine learningPython
Nice to have
LLMs
Work
On-site in Fort Worth
Pay
$67K–$124.4K a year
Skill demand
Statistics70%Operations37%Data structures & algorithms25%Business analysis25%of 100 similar entry-level jobs posted in the US this week
Listed
Nov 12, 2026 · still open

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About the Role

At Lockheed Martin, we keep people safe and solve the world's most complex challenges. We are looking for a Data Scientist Asc - Early Career to perform exploratory research and statistical analysis to identify novel patterns, develop predictive models, and translate findings into actionable business value.

Key Responsibilities

  • 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.

Requirements & Tech Stack

  • 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.
  • 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.

Desired Skills

  • 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.

Qualifications

  • MUST BE A U.S. CITIZEN.
  • This position is located at a facility that requires special access.
  • The selected candidate must be able to obtain a secret clearance.

Pay & Benefits

  • Full-Time Salary Range: $67,000.00 - $124,400.00.
  • Benefits offered: 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, and Long-Term Disability.
  • Annual short-term and/or long-term incentive compensation programs may be offered.

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