Data Scientist with TS/SCI Clearance - AI & Analytics Leader

Graham Technologies; Tampa (FL); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

4 Weeks PTO in First Year

11 Federal Holidays

Health, Dental, Vision, Life Insurance

401(k) Employer Contributions

Flexible Scheduling

Education Reimbursement

Job summary

Graham Technologies is seeking a highly skilled Data Scientist to develop advanced ML, predictive analytics, and AI solutions for logistics planning and enterprise decision-making. The role focuses on scalable analytics, predictive models, and BI capabilities to enable data-driven decisions in a complex, mission-focused environment.

The candidate will work with Data Engineers to optimize data pipelines and develop executive dashboards using BI platforms, presenting findings to Government

Qualifications

• Master's degree in a quantitative field.
• 5+ years of professional experience in predictive analytics or ML.
• Strong Python programming and SQL skills.
• Experience with TensorFlow or PyTorch.

Responsibilities

• Develop and deploy ML models for logistics and sustainment operations.
• Build forecasting models using time-series techniques (e.g., ARIMA, exponential smoothing).
• Develop ML models using algorithms such as Random Forest, Gradient Boosting, XGBoost.
• Design anomaly detection models using clustering, DBSCAN, and autoencoders.
• Create inventory optimization and resource allocation models.

Skills

Python

R

Machine learning

Statistical analysis

Analytical thinking

Communication

Education

Master's degree in Data Science / CS / Statistics / Mathematics / Engineering

Tools

TensorFlow

PyTorch

SQL

Databricks

Apache Spark

AWS / Azure

Job description

Graham Technologies is seeking a highly skilled Data Scientist to develop advanced ML, predictive analytics, and AI solutions for logistics planning and enterprise decision-making. The role focuses on scalable analytics, predictive models, and BI capabilities to enable data-driven decisions in a complex, mission-focused environment.

The candidate will work with Data Engineers to optimize data pipelines and develop executive dashboards using BI platforms, presenting findings to Government