Data Scientist

Location: USCENTCOM HQ, MacDill AFB, FL Security Clearance: TS/SCI clearance required Responsibilities: Develop predictive models for operational logistics (demand forecasting, resource optimization) Utilize time-series analysis (e.g., ARIMA, Exponential Smoothing) and machine learning models (Random Forest, Gradient Boosting, XGBoost) Develop inventory optimization algorithms (linear programming, mixed-integer optimization, supply chain simulation) Implement unsupervised learning techniques (k-means, DBSCAN, autoencoders) for anomaly detection Apply advanced statistical techniques to assess sustainment risks and optimize logistic workflows Monitor and continuously optimize models with updated data and deploy models in production environments Qualifications Education: Master's degree required Experience : 5+ years experience Technical Skills: Proficiency in Python Proficiency in R Proficiency in TensorFlow Proficiency in PyTorch Proficiency in machine learning Security Clearance: TS/SCI clearance required