Data Scientist Asc
Lockheed Martin
Fort Worth, TXFresher13m agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed · Bachelor's degree
- Must know
- StatisticsData structures & algorithmsBusiness analysisMachine learningData analysisData visualization
- Work
- On-site in Fort Worth
- Pay
- $67K–$124.4K a year
- Skill demand
- Statistics70%Machine learning58%Data structures & algorithms25%Business analysis25%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 12, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
At Lockheed Martin, we solve complex challenges and keep people safe. We are seeking engineers, scientists, and problem-solvers who are ready to engage deeply, think critically, and build with purpose. This is where the best are built.
Key Responsibilities
- Leverage and create AI solutions to optimize production, elevate quality, and enable 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 to 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.
- Use 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.
- 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.
- 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.
Requirements & Tech Stack
- Expertise in applied statistics, machine learning, and data visualization.
- Experience 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.
- 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.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML or related field.
- 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.
- Collaborative engineer with excellent problem-solving skills.
- Ability to communicate complex insights clearly to diverse stakeholders.
- Strong organization and communication skills.
Compensation & Benefits
- Full-Time Salary Range: $67,000.00 - $124,400.00
- Flexible work arrangements and schedules (e.g., 4x10).
- Medical, Dental, Vision.
- 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 (payments are not guaranteed and can vary).