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Global Supply Chain Data Scientist

Job in Buckeye, Maricopa County, Arizona, 85326, USA
Listing for: Lockheed Martin
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 121000 - 224000 USD Yearly USD 121000.00 224000.00 YEAR
Job Description & How to Apply Below
Standard

Job Description

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.

Standard

Job Description

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.

The defense industry is undergoing rapid transformation, with increasing global complexity and evolving security demands redefining what it takes to compete. Organizations are under growing pressure to deliver with both precision and speed while adapting in real time. Success requires more than incremental improvement; it demands the ability to build capability, scale performance, and drive meaningful change across the enterprise.

The selected candidate will serve as the Global Supply Chain business owner for the RISE tool, providing leadership for governance, adoption, and day-to-day business integration across the organization.

This role will function as the primary point of contact for SIOP-related matters (sales, inventory, operations and planning) within Global Supply Chain and will serve as a critical interface between business stakeholders and the Digital Technologies team.

The role will require close partnership across a matrixed organization, including collaboration with supply chain stakeholders, SIOP, and technical teams. The ideal candidate will be an influential change champion who can define what good looks like, coach stakeholders on effective use of the tool, and drive execution through strong communication, accountability, and influence without direct authority.

We operate at the forefront of a cultural shift toward agility, accountability, and performance excellence. Our ambition is to become the enterprise’s partner of choice - delivering measurable impact and enabling sustained performance in support of mission-critical outcomes.

Basic Qualifications
  • Bachelor’s degree from an accredited college in Business, Supply Chain, Information Systems, Engineering, Operations, Technology, or related discipline, or equivalent experience
  • Experience serving as a business owner, superuser, subject matter expert, or lead for a digital tool, platform, or system
  • Experience working across technical and business teams to translate operational needs into functional or technical requirements
  • Experience…
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