Logistics Data Scientist: Predictive Modeling (Onsite Tampa)

Naval Systems, Inc. (NSI); Jacksonville (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Long Term Disability

Life Insurance

Short Term Disability

Paid time off

Paid holidays

401k Plan with company match

Tuition assistance program

Flexible spending account

Employee assistance program

Fun and enthusiastic work environment

Job summary

NSI is seeking a Data Scientist to support CENTCOM Headquarters Logistics Operating Environment 3.0. You will develop predictive models for operational logistics, including demand forecasting, inventory optimization, and anomaly detection. Requires a Master’s Degree and 5+ years of experience; proficient in Python, R, TensorFlow, PyTorch, and ML.

Must be a U.S. citizen with Top Secret eligibility; onsite at MacDill AFB, Tampa, FL.

Qualifications

• Master's degree in a related field required.
• 5+ years of data science experience.
• Proficiency in Python, R, TensorFlow, PyTorch, and ML.
• U.S. citizen; Top Secret or TS Eligible required.
• Onsite at MacDill AFB, Tampa, FL.

Responsibilities

• Develop predictive models for demand forecasting and optimization.
• Monitor model performance and recalibrate with updated data.
• Deploy models in production environments.
• Handle data from multiple sources for model development.

Skills

Python

R

Machine Learning

TensorFlow

PyTorch

Statistical Modeling

Education

Master's Degree

Job description

NSI is seeking a Data Scientist to support CENTCOM Headquarters Logistics Operating Environment 3.0. You will develop predictive models for operational logistics, including demand forecasting, inventory optimization, and anomaly detection. Requires a Master’s Degree and 5+ years of experience; proficient in Python, R, TensorFlow, PyTorch, and ML.

Must be a U.S. citizen with Top Secret eligibility; onsite at MacDill AFB, Tampa, FL.