Data Scientist 456

Naval-Systems,-Inc.; Tampa (FL); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401k Plan

Job summary

NSI seeks a Data Scientist to support CENTCOM Headquarters Logistics Operating Environment 3.0, developing predictive models for logistics and production readiness. The role emphasizes forecasting, optimization, and anomaly detection using ARIMA, ML methods, and LP techniques.

The position requires Top Secret clearance and on-site work at MacDill AFB in Tampa, FL, with a Masters degree and 5+ years of relevant experience in Python, R, TensorFlow, and PyTorch. U.S. citizenship is mandatory.

Qualifications

• Masters Degree required.
• 5+ years of experience in data science / ML.
• Proficiency in Python, R, and ML frameworks.

Responsibilities

• Develop predictive models for operational logistics.
• Create demand forecasting, inventory optimization, and anomaly detection models.
• Monitor model performance and recalibrate with new data.

Skills

Python

R

TensorFlow

PyTorch

Machine Learning

Education

Masters Degree

Job description

Top Secret Clearance Required. Must be willing to be onsite at MacDill AFB.

Description

NSI requires a Data Scientist to support CENTCOM Headquarters Logistics Operating Environment 3.0.

Upon award of contract the Data Scientists will develop predictive models for operational logistics, including:

• Demand Forecasting Models: Utilize time-series analysis (e.g., ARIMA, Exponential Smoothing) and machine learning models (e.g., Random Forest, Gradient Boosting, XGBoost) for demand prediction and resource optimization.
• Inventory Optimization Models: Develop algorithms to improve the efficiency of supply chain operations, utilizing linear programming, mixed-integer optimization, and supply chain simulation tools.
• Anomaly Detection: Implement unsupervised learning techniques such as k-means clustering, DBSCAN, and autoencoders for the detection of anomalies in supply chain operations and logistics performance.
• Advanced Statistical Modeling: Apply advanced statistical techniques to assess sustainment risks and optimize logistic workflows.

A team of data scientists is necessary to handle the breadth of tasks related to model development, training, and continuous optimization of predictive models. The diversity in machine learning algorithms, coupled with the need to manage and analyze large volumes of data from multiple sources, requires a larger team. These professionals will also need to continuously monitor model performance, recalibrate models with updated data, and deploy models in production environments.

Location

Tampa, FL (Onsite MacDill AFB)

Education

Masters Degree

Experience

5+ Years experience, proficiency in Python, R, TensorFlow, PyTorch, and machine learning (ML)

Security Clearance

Top Secret or Actively Top Secret Eligible is required. Must be a U.S. citizen.

Special Notes

NSI is a privately held, small but quickly growing company with headquarters in Lexington Park, Maryland within 5 miles of the Patuxent River Naval Air Station. Established in 2004, we are now celebrating 22 years of excellence in providing quality products and services to the Department of Defense.

Our benefits package includes:

• medical
• dental
• vision
• Long Term Disability
• Life Insurance
• Short Term Disability
• paid time off
• paid holidays
• flexible spending account
• employee assistance program
• tuition assistance program
• 401k Plan with company match

and a fun and enthusiastic work environment!

Quality, Integrity, Teamwork, Success – that's NSI!

Equal Opportunity Statement

NSI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Top Secret Clearance Required. Must be a U.S. Citizen