Mission-Driven Data Scientist — Predictive Analytics & AI

LMI; Pittsburgh (Allegheny County); On-site; USD 130,000 - 180,000; Full time

Job summary

LMI is seeking a Data Scientist to develop predictive and prescriptive analytics for Army AI Integration Center (AI2C). You will build models, run simulations, and translate complex outputs into actionable recommendations for sustainment, talent management, and recruiting domain decisions.

The role requires strong Python skills, experience with machine learning and operations research, and the ability to communicate results to both technical and non-technical stakeholders.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, CS, OR, or related field or equivalent experience
• 3–5 years of data science or applied analytics experience with focus on predictive modeling and ML
• Proficiency in Python (pandas, numpy, scikit-learn, statsmodels) and/or R for data manipulation and model development
• Experience building and validating supervised and unsupervised ML models (regression, classification, clustering, time-series)
• Experience with data visualization tools to communicate findings effectively
• Experience with enterprise data platforms for data integration and pipeline development
• Familiarity with Git, Agile methodologies, and collaborative development practices
• Ability to communicate complex analytical concepts clearly to non-technical stakeholders
• Active Secret Clearance required

Responsibilities

• Design, develop, and deploy predictive and prescriptive models to support Army decision-making across multiple domains
• Develop and maintain analytical models and simulations to evaluate systems and processes
• Design and execute simulations (e.g., Monte Carlo) using Python libraries to assess behavior under uncertainty
• Apply OR techniques to address allocation and scheduling challenges
• Formulate and solve optimization problems using Python packages to evaluate alternatives
• Conduct quantitative trade studies and sensitivity analyses to inform decisions
• Develop statistical and probabilistic models to characterize system behavior and quantify risk
• Design computational experiments to assess model performance across scenarios
• Perform model verification, validation, and uncertainty quantification with empirical data
• Integrate and analyze structured and unstructured data to support modeling workflows
• Develop reusable Python-based analytics tools and workflows with good software practices
• Create analytical visualizations and dashboards to communicate outputs and uncertainties
• Implement monitoring and troubleshooting for reliability
• Document models and methodologies per Army/DoD standards
• Collaborate with UX/UI designers to integrate data science into user-facing apps
• Lead and mentor team members; engage with Army managers to validate requirements
• Travel: 10%

Skills

Python programming

ML modeling

Data visualization

Education

Bachelor's degree in Data Science or related field

Tools

Palantir Foundry

Git

Job description

LMI is seeking a Data Scientist to develop predictive and prescriptive analytics for Army AI Integration Center (AI2C). You will build models, run simulations, and translate complex outputs into actionable recommendations for sustainment, talent management, and recruiting domain decisions.

The role requires strong Python skills, experience with machine learning and operations research, and the ability to communicate results to both technical and non-technical stakeholders.