Job Description

About Zaden Technologies, Inc.

Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer’s biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career!

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