About the role

The Data Scientist will build and deploy predictive models for demand forecasting, inventory optimization, and anomaly detection to support defense logistics. They will work on-site with the mission team to translate complex data into actionable operational decisions.

What they look for

Python R TensorFlow PyTorch Time-series analysis Machine learning Linear programming Mixed-integer programming Clustering Autoencoders Statistical modeling Data visualization Power BI Tableau Demand forecasting Inventory optimization

Requirements

Candidates must possess an active TS/SCI clearance and a Master's degree in an applicable field. At least 5 years of applied data science experience and proficiency in Python, R, TensorFlow, and PyTorch are required.

Benefits

Paid holidays Flexible paid time off 401k Health insurance

Full 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.

Role Responsibilities:

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

Required Qualifications:

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

Preferred Qualifications:

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)

What we offer:

Robust startup environment with a variety of projects to work on
Growth paths and endless opportunities to learn and develop
Paid holidays and flexible paid time off
Employer contributions toward 401k
50% coverage of health insurance for employees and their dependents