Data Scientist - Clearance Required

LMI•Pittsburgh, PA

3d•$130,000 - $180,000

About The Position

LMI is seeking a skilled Data Scientist to develop innovative analytics capabilities in support of the Army's AI Integration Center (AI2C). The role builds predictive models, surfaces data-driven insights, and translates complex analytical outputs into actionable recommendations that advance the Army's AI strategy. The position applies data science and national-defense analytics to Army challenges involving talent management, equipment sustainment, recruiting, and training. It calls for a self-directed, collaborative professional who can work in a fast-paced, mission-driven environment and communicate clearly with technical and non-technical stakeholders.

Requirements

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a related quantitative field, or equivalent work experience.
3–5 years of experience in data science or applied analytics, with a demonstrated focus on predictive modeling and machine learning.
Proficiency in Python (including pandas, NumPy, scikit-learn, and statsmodels) and/or R for data manipulation, statistical analysis, and model development.
Experience building and validating supervised and unsupervised machine-learning models, including regression, classification, clustering, and time-series forecasting.
Experience with data visualization tools and libraries such as Plotly, D3.js, Recharts, Tableau, or similar.
Experience with Palantir Foundry or comparable enterprise data platforms for data integration, pipeline development, and application support.
Familiarity with Git, Agile methodologies, and collaborative development practices.
Ability to communicate complex analytical concepts clearly to non-technical stakeholders and influence decisions through data.
Active Secret Clearance required.

Nice To Haves

Knowledge of Natural Language Processing (NLP) techniques and applications.
Hands-on deployment experience across multiple environments and platforms.
Background in strategic planning or consulting environments supporting government or DoD clients.
Proven track record of expanding technical scope or footprint with government customers.
Knowledge of the Army software development process and its technologies.
7+ years of directly related experience.
Familiarity with human-centered design principles and integrating analytical outputs into user-facing applications.
Master’s degree in Computer Science, Software Engineering, Information Systems, or a related field.

Responsibilities

Design, develop, and deploy predictive and prescriptive models supporting Army decision-making in sustainment, talent management, and recruiting.
Develop, implement, and maintain analytical models and simulations to evaluate complex systems, operational processes, mission effectiveness, and alternative courses of action.
Design and execute discrete-event, agent-based, stochastic, and Monte Carlo simulations using Python libraries such as SimPy, Mesa, NumPy, and SciPy.
Apply operations research techniques, including mathematical programming, optimization, stochastic modeling, queuing theory, and decision analysis.
Formulate and solve linear, nonlinear, integer, and mixed-integer optimization problems using Python packages such as Pyomo, PuLP, SciPy.optimize, OR-Tools, and CVXPY.
Conduct quantitative trade studies, sensitivity analyses, scenario-based assessments, and what-if analyses.
Develop statistical and probabilistic models using NumPy, SciPy, pandas, statsmodels, and PyMC to characterize system behavior, quantify uncertainty, and evaluate operational risks.
Design and execute computational experiments, including design of experiments, parameter sweeps, Monte Carlo analysis, and sensitivity testing.
Perform model verification, validation, calibration, and uncertainty quantification using empirical data, statistical testing, and subject matter expertise.
Integrate, transform, and analyze structured and unstructured data from multiple sources using pandas, NumPy, Polars, and related Python data-processing libraries.
Develop reusable, modular, reproducible Python analytical tools and computational workflows using software development best practices, version control, automated testing, and documented methodologies.
Develop analytical visualizations, interactive dashboards, and decision-support tools using Matplotlib, Seaborn, Plotly, and Streamlit.
Implement monitoring, logging, and troubleshooting to ensure system reliability and availability.
Communicate findings, assumptions, limitations, uncertainties, and recommendations through technical documentation, reports, briefings, and presentations.
Build and maintain data pipelines and analytical workflows using Python, PySpark, and/or R, integrating with Army platforms such as Palantir Foundry and Army Vantage.
Collaborate with UX/UI designers and software developers to integrate data science capabilities into user-facing applications.
Provide technical leadership and mentorship to grow team capabilities in data science and mission-focused application development.
Engage with Army managers and subject matter experts to understand mission requirements, validate model assumptions, and build trust in analytical outputs.
Document models, methodologies, and analytical processes in accordance with Army and DoD standards.