Data Scientist 456 with Security Clearance

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 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/Instructions: 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.

• 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
• fun and enthusiastic work environment!

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

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.