Senior Data Scientist - Predictive Analytics for Logistics

Graham Tech; Tampa (FL); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Four Weeks PTO in Year One

Eleven Federal Holidays

Health, Dental, Vision, Life Insurance

401(k) with employer contributions

Flexible schedules

Education and training reimbursements

Job summary

Graham Technologies in Tampa, Florida seeks a seasoned Data Scientist to build scalable ML models and predictive analytics for logistics and sustainment operations. You will develop forecasting, anomaly detection, and optimization solutions, while delivering executive dashboards and collaborating with data engineers.

The role requires 5+ years in ML/AI, strong Python/R skills, and experience with TensorFlow or PyTorch, plus DoD/government project exposure is a plus.

Qualifications

• Master's degree in a quantitative discipline as listed.
• Minimum five years of professional experience in predictive analytics, ML, or AI.
• Strong programming experience using Python.
• Experience with R for statistics.
• Experience developing and deploying ML models.
• Experience with TensorFlow, PyTorch, or similar frameworks.
• Experience with SQL and relational databases.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written, verbal, and presentation skills.

Responsibilities

• Develop, validate, deploy, and maintain ML and predictive analytics models for logistics and sustainment operations.
• Build demand forecasting models using time-series analysis (ARIMA, exponential smoothing).
• Develop ML models with RF, Gradient Boosting, XGBoost, or RL techniques.
• Design anomaly detection models using clustering and unsupervised methods.
• Develop inventory optimization and resource allocation models.
• Analyze large enterprise datasets to identify trends and risks.
• Prepare data, feature engineering, and model validation.
• Collaborate with Data Engineers to optimize data pipelines and cloud analytics.
• Create executive dashboards and BI visuals (Power BI, Tableau, Qlik).
• Present findings to technical teams, leadership, and Government stakeholders.
• Produce technical documentation and conduct knowledge transfer sessions.

Skills

Analytical thinking

Problem-solving

Presentation skills

Communication skills

Education

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

Tools

Python

R

SQL

TensorFlow

PyTorch

Job description

Graham Technologies in Tampa, Florida seeks a seasoned Data Scientist to build scalable ML models and predictive analytics for logistics and sustainment operations. You will develop forecasting, anomaly detection, and optimization solutions, while delivering executive dashboards and collaborating with data engineers.

The role requires 5+ years in ML/AI, strong Python/R skills, and experience with TensorFlow or PyTorch, plus DoD/government project exposure is a plus.