Job description

KSA Integration is a Service-Disabled Veteran-Owned Small Business (SDVOSB) that provides business and management solutions through two core portfolios: (1) Warrior Readiness, and (2) Warrior Care. We are a rapidly growing government contractor that has built a reputation for focused customer service, on-time performance, and continuous improvement. To demonstrate this, KSA has been awarded the Inc. Best Workplaces, a prestigious list of businesses recognized for the value placed on company culture, standout worker benefits, and the prioritization of employee well-being, every year from 2019 to 2025. KSA also earned recognition on the Best for Vets List by Military Times from 2019 to 2025 and garnered the Department of Labor “Hire Vets” Platinum Medallion Award from 2021 to 2025. Position Overview: This position supports the a Marine Corps Program Office as a Senior AI Data Analyst . This effort provides dedicated Modeling, Simulation, and Analysis (MS&A) expertise to the Headquarters Marine Corps Installations & Logistics (HQMC I&L) Global Positioning Network Program Office (GPN PO). The Senior AI Data Analyst serves as the lead analyst and on-site coordinator at the Pentagon, directing an off-site data team and delivering analytics, modeling, and simulation products that inform prepositioning and global logistics decisions. This is a Key Personnel position. This Position is Contingent Upon Award Benefits: • Medical, Dental, Vision (82% of employee’s premium paid by company, 25% towards dependents) • HSA / FSA Medical Plans • PTO • Flexible Work Environment and Encourage Work/Life Balance • 401K with Company Match • Observes all federal holidays • Professional Development/Tuition Reimbursement Program • Annual Career Development Process Job Type: Full-time/Exempt Location: The Pentagon/Hybrid Anticipated Start Date: Upon Contract Award (Anticipated: September 30, 2026) Position Responsibilities: • Serve as the primary on-site analytical advisor for Analytics, Modeling, and Simulation efforts at the Pentagon; facilitate technical discussions with Government stakeholders and external entities. • Lead and direct the off-site junior/mid-level data team, setting priorities, reviewing products, and ensuring analytical quality and timeliness. • Implement data standards and deploy automation tools to extract, synthesize, and validate data from disparate sources and transform data into usable metrics. • Construct data sets, monitor data quality, and troubleshoot and resolve database issues to ensure data integrity for model input. • Develop algorithms, user interfaces, and visualizations using languages such as Python and R to communicate analytical results to senior decision-makers. • Apply AI/ML frameworks to develop predictive models, recommend optimal solutions, and analyze complex logistics datasets. • Build, run, and refine high-resolution models and simulations supporting prepositioning planning and global logistics analysis. Requirements Position Requirements: • Bachelor's Degree. • Eight or more years of related experience. • Expertise in developing algorithms, creating user interfaces, synthesizing data, and producing visualizations using languages like Python or R. • Proven experience applying AI/ML frameworks (e.g., TensorFlow, PyTorch) to develop predictive models, recommend optimal solutions, and analyze complex datasets. • Experience using high-resolution, complex modeling and simulation software (e.g., ExtendSim) and simulation-optimization tools (e.g., OptDef). • Familiarity with how data is captured and used from DoW logistics systems (e.g., TFSMS, GCSS-MC, MCPIC) and the ability to manipulate these sources for model input. • Active Secret security clearance (must be maintained for the duration of the contract). • Must be eligible to obtain and maintain a DoW Common Access Card (CAC). Preferred Skills/Experience: • Master's Degree in Data Science, Computer Science, Operations Research, Applied Mathematics, or a related field. • Experience supporting Marine Corps or Joint logistics organizations, prepositioning programs, or the PPBE process. • Experience leading distributed analytical teams in a client-facing environment. • Experience with cloud analytics platforms (e.g., Databricks, War Data Platform) and DoW data environments. Pay Range United States of America: $145,000 - $170,000 USD. Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. KSA Integration is an equal opportunity employer.

Requirements

Must-haves

This Position is Contingent Upon Award
Flexible Work Environment and Encourage Work/Life Balance
Observes all federal holidays
Professional Development/Tuition Reimbursement Program
Annual Career Development Process
Job Type: Full-time/Exempt
Location: The Pentagon/Hybrid
Anticipated Start Date: Upon Contract Award (Anticipated: September 30, 2026)
Serve as the primary on-site analytical advisor for Analytics, Modeling, and Simulation efforts at the Pentagon; facilitate technical discussions with Government stakeholders and external entities.
Lead and direct the off-site junior/mid-level data team, setting priorities, reviewing products, and ensuring analytical quality and timeliness.
Implement data standards and deploy automation tools to extract, synthesize, and validate data from disparate sources and transform data into usable metrics.
Construct data sets, monitor data quality, and troubleshoot and resolve database issues to ensure data integrity for model input.
Develop algorithms, user interfaces, and visualizations using languages such as Python and R to communicate analytical results to senior decision-makers.
Apply AI/ML frameworks to develop predictive models, recommend optimal solutions, and analyze complex logistics datasets.
Build, run, and refine high-resolution models and simulations supporting prepositioning planning and global logistics analysis.
Bachelor's Degree.
Eight or more years of related experience.
Expertise in developing algorithms, creating user interfaces, synthesizing data, and producing visualizations using languages like Python or R.
Proven experience applying AI/ML frameworks (e.g., TensorFlow, PyTorch) to develop predictive models, recommend optimal solutions, and analyze complex datasets.
Experience using high-resolution, complex modeling and simulation software (e.g., ExtendSim) and simulation-optimization tools (e.g., OptDef).
Familiarity with how data is captured and used from DoW logistics systems (e.g., TFSMS, GCSS-MC, MCPIC) and the ability to manipulate these sources for model input.
Active Secret security clearance (must be maintained for the duration of the contract).
Must be eligible to obtain and maintain a DoW Common Access Card (CAC).
Master's Degree in Data Science, Computer Science, Operations Research, Applied Mathematics, or a related field.

Nice-to-haves

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Keywords to mirror

aipythonml

Platform: paylocity
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Professional Development