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# Data Scientist

- **Company:** Zaden Technologies, Inc.
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Decision Support Systems, R (Programming Language), Python (Programming Language), Linear Programming, Machine Learning, Power BI, Tensorflow, Tableau (Software), Pytorch, Random Forest, Xgboost, Machine Learning Operations, K Means
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=20940a8066d8f4df

## About the Role

* An active TOP SECRET clearance with SCI eligibility (TS/SCI) at time of application (firm requirement, U.S. citizenship required)
 * A Master's degree in an applicable field and 5+ years of applied data science experience
 * Hands-on depth in Python, R, TensorFlow, and PyTorch
 * Availability to work on-site in the greater Tampa area
 * Start date in early October, * 5+ years of applied data science experience
 * Experience in logistics, supply chain, or readiness analytics
 * Demonstrated experience deploying models to production (not just research or prototyping)
 * Dashboarding experience in Power BI, Tableau, or similar tools
 * Strong documentation skills or experience delivering knowledge transfer/training
 * Optimization experience (linear programming, mixed-integer)

## Description

Want your models deployed where they matter instead of dying in a notebook? Zaden Technologies is hiring Data Scientists to support a defense logistics analytics program. This is an on-site role - you'd work in person with the mission team, building the demand forecasting, inventory optimization, and anomaly detection models that turn a flood of logistics data into decisions., * Build demand forecasting models using classical time-series methods (ARIMA, exponential smoothing) and machine learning approaches (Random Forest, Gradient Boosting, XGBoost)

 * Develop inventory optimization solutions using linear programming and mixed-integer techniques
 * Build anomaly detection capabilities using clustering (k-means, DBSCAN) and autoencoder techniques
 * Apply statistical modeling to support operational decision-making
 * Deploy models to production and monitor, validate, and recalibrate them against real performance standards
 * Help deliver dashboards and decision support through modern BI and analytics platforms
 * Work on-site with the mission team
 * Communicate technical findings clearly to both technical and non-technical stakeholders


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