Data Scientist Security Clearance

Position: Data Scientist with Security Clearance
Graham Technologies is seeking a highly skilled Data Scientist to develop advanced machine learning, predictive analytics, and artificial intelligence solutions that enhance logistics planning, sustainment operations, and enterprise decision-making. This role focuses on building scalable analytics solutions, predictive models, and interactive business intelligence capabilities that enable data-driven decision-making within a complex, mission-focused environment. Location Tampa, Florida Responsibilities
* Develop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations.
* Build demand forecasting models utilizing statistical techniques including time-series analysis, ARIMA, and exponential smoothing.
* Develop machine learning models using algorithms such as Random Forest, Gradient Boosting, XGBoost, and reinforcement learning techniques.
* Design and implement anomaly detection models utilizing clustering algorithms, DBSCAN, autoencoders, and other unsupervised learning methods.
* Develop inventory optimization and resource allocation models utilizing statistical analysis and optimization techniques.
* Analyze structured and unstructured enterprise datasets to identify trends, patterns, and operational risks.
* Perform data preparation, feature engineering, and model validation to improve predictive performance.
* Collaborate with Data Engineers to optimize enterprise data pipelines and cloud-based analytics environments.
* Develop executive dashboards, operational scorecards, and interactive visualizations using Power BI, Tableau, Qlik, or similar business intelligence platforms.
* Present analytical findings and recommendations to technical teams, program leadership, and Government stakeholders.
* Develop technical documentation including model specifications, analytical methodologies, user guides, and standard operating procedures.
* Conduct knowledge transfer sessions and provide training to Government personnel on analytical models and business intelligence tools.
* Monitor model performance and continuously improve deployed AI/ML solutions.
* Support Agile software development activities including sprint planning, backlog refinement, demonstrations, and peer reviews.
* Collaborate across multidisciplinary teams to deliver enterprise analytics solutions supporting mission objectives.

Required Qualifications
* Active Top Secret with the ability to attain a SCI.
* Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline.
* Minimum five (5) years of professional experience developing predictive analytics, machine learning, or artificial intelligence solutions.
* Strong programming experience using Python.
* Experience using R for statistical analysis.
* Experience developing and deploying machine learning models.
* Experience using Tensor Flow, PyTorch, or similar machine learning frameworks.
* Experience with predictive analytics and statistical modeling.
* Experience analyzing large, complex enterprise datasets.
* Experience with SQL and relational databases.
* Strong analytical, problem-solving, and critical thinking skills.
* Excellent written, verbal, and presentation skills.

Preferred Qualifications
* Experience supporting Department of Defense or Federal Government programs.
* Experience supporting logistics, supply chain, sustainment, readiness, or operational analytics.
* Experience with Databricks and Apache Spark.
* Experience with cloud-based AI/ML environments in AWS or Azure.
* Experience developing executive dashboards and business intelligence solutions.
* Experience with optimization algorithms, linear programming, or supply chain modeling.
* Experience with geospatial analytics or operational planning tools.
* AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, or similar cloud certification.
* Security+ or other DoD 8570/8140 certification. Compensation At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to…