AI and Data Science Engineer III with TS/SCI Polygraph

About the role

Apply data science, operations research, and visualization techniques to develop predictive models, decision-support tools, and interactive analytics solutions. Supports workforce planning use cases such as attrition prediction, supply and demand forecasting, accession planning, and skill-gap analysis. Delivers AI-enabled solutions that allow stakeholders to engage with data and model outputs in more accessible and dynamic ways.

Work you'll do

• Building and maintaining predictive models for workforce analytics, including attrition modeling, supply and demand forecasting, accession planning, skill-gap analysis, and retention risk scoring using Python and/or R
• Applying operations research methods such as optimization, simulation, queuing theory, and scenario analysis to workforce planning challenges
• Designing and developing interactive dashboards and visualizations in Tableau and Python-based tools to communicate model outputs to technical and non-technical stakeholders
• Developing AI-enabled and large language model-powered tools that allow users to query workforce data and analytics outputs using natural language
• Documenting model methodology, assumptions, validation results, and limitations, and partnering with data engineering resources to support reliable data inputs and data quality standards

Skills

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The team

Focuses on process engineering and automation using a range of tools and technologies, including artificial intelligence, robotic process automation, agentic solutions, and scripting. Develops scalable solutions that improve decision-making, increase efficiency, and expand access to data-driven insights. This role contributes by helping turn workforce data into predictive, interactive, and operationally useful analytics products.

Required qualifications

• 4+ years of experience with Python
• 4+ years of experience with advanced statistical analysis and modeling
• 4+ years of experience with Tableau
• 4+ years of experience with machine learning
• Bachelor's degree
• Active TS/SCI with polygraph clearance
• Ability to travel 10-25%, on average, based on the work you do and the clients and industries/sectors you serve
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred qualifications

• Experience with Software Development Life Cycle (SDLC) processes

Pay

For individuals assigned and/or hired to work in Maryland, a reasonable estimate of the current range is $119,000 to $198,400. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.