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# Data Scientist Asc - Early Career

- **Company:** Lockheed Martin
- **Location:** Marietta, GA, United States
- **Salary:** $67,000 - $124,400
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Big Data, Cloud Computing, Data Visualization, Distributed Systems, Python (Programming Language), Machine Learning, Meta-Data Management, Metadata Repositories, Natural Language Processing, Tensorflow, Text Mining, Large Language Models, Deep Learning, Generative AI, Numerical Computing, Agentic-AI, Git, Information Technology, Optimization Algorithms, Software Version Control
- **Published:** November 10, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28171921/Data-Scientist-Asc-Early-Career-Georgia-Marietta-1301

## About the Role

A collaborative engineer with strong expertise in applied statistics, machine learning, and data visualization. You thrive in fast-paced, global environments, possess excellent problem-solving skills, and are able to communicate complex insights clearly to diverse stakeholders., MUST BE A U.S. CITIZEN -This position is located at a facility that requiresspecial access.

The selected candidate must be able to obtain a secretclearance., * 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

## Description

As the Data Scientist Asc - Early Career, you will be responsible for performing exploratory research and statistical analysis to identify novel patterns, develop predictive models, and translate findings into actionable business value.

Your responsibilities will include:

 * 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.