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Sr. Data Scientist- NEA Assurance Analysis SCRM

Company name
Honeywell International Inc.

Location
Overland Park, KS, United States

Employment Type
Full-Time

Industry
Sciences, Scientist, Law Enforcement, Military, Security Clearance

Posted on
Jan 12, 2026

Valid Through
Apr 27, 2026

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Profile

Innovate to solve the world's most important challenges

Honeywell is a Fortune 100 company that invents and manufactures technologies to address critical challenges linked to global macrotrends such as safety, security, productivity, global urbanization and energy. With approximately 129,000 employees worldwide, including more than 19,000 engineers and scientists, Honeywell has an unrelenting focus on quality, delivery, value, and technology in everything they make and do. Honeywell has been named a Top 100 Global Innovator for seven years in a row, recognizing the company’s global reach of portfolio and invention influence.

In Kansas City, Honeywell Federal Manufacturing & Technologies (FM&T;) manages and operates the U.S. Department of Energy/National Nuclear Security Administration’s (NNSA) Kansas City National Security Campus. This state-of-the-art engineering, manufacturing, and sourcing facility produces a wide array of intricate components to deliver trusted national security products and government services primarily for the NNSA. Honeywell FM&T;’s culture of integrity, commitment and continuous improvement enables them to deliver responsive, collaborative, and innovative management and technology services and products that translate into cutting edge solutions to complex national security issues.

This position will be in Kansas City, MO

Summary:

As a Data Scientist Assurance Analyst-SCRM for Secure Systems Engineering Services, you will lead and support moderate to highly complex data science and analytics projects to identify, analyze, and prioritize malicious activities and threat vectors as observed within nuclear weapons production supply chains, technologies, and processes. As a Data Scientist you will effectively communicate formal assessments to decision makers and stakeholders to drive effective risk management measures. Job functions include building data analytical products while leveraging existing open source and commercial tools and internal data environments to collect and analyze data for correlation.

In this role you will:

Serve as a Data Scientist Assurance Analyst with a focus on Adversarial Supply Chain Risk Management in nuclear weapons assurance activities

Production- Produce analytical papers and documentation of suppliers within the current A-SCRM process

Supply Chain Illumination- Use Software/Opensource Analysis platforms to identify threats and vulnerabilities in the supply chain

Supply Chain assurance enhancement- Evaluate Sub-tier suppliers, their connections, and relationships with existing suppliers for production

Tool & Process- Create and develop tools and processes to enhance A-SCRM practices and applications

Inquiry & Issues Support- Assist in supply chain subversion plausibility studies

Process Development- Develop and deploy guidelines, processes, workflows, and standards for department data analytics

Provide analysis and research on threat vectors related to product assurance, supply chain, cyber, technologies, and vulnerabilities

Prepare assessments of current events based on the sophisticated collection, research, and analysis of open-source information

You Must Have:

BS in engineering from ABET accredited institution or Master’s degree in data science or related field, or two years of relevant experience in lieu of a degree.

Five or more years of relevant experience in data science or related technical activities.

Expert using scripting and querying languages, such as Python, R, SQL, and others.

Demonstrated experience in serving as a technical lead of moderately complex projects.

Demonstrated analytical skills, proficient with computer software applications, and the ability to produce and consume written documentation.

US citizenship to obtain and maintain US Dept of Energy Q level security clearance

We Value:

Prior Data Science, qualitative and quantitative research experience

Prior experience in Intelligence Community, law enforcement or Military

Analytical certifications and core competency

Supply Chain Risk Management (SCRM) competency

Current Top Secret/SCI clearance holders or the ability to obtain one

Understanding of information and data collection databases and tools for analysis

Highly effective organizational, interpersonal, communication, and group leadership skills are preferred

Having an effective, proven ability in decision-making, problem solving, and influencing others is preferred

FMT2023

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

Company info

Honeywell International Inc.
Website : http://www.honeywell.com

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