Data Scientist 456

Naval Systems, Inc.; Tampa (FL); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401k

PTO

Job summary

Naval Systems, Inc. seeks a Data Scientist to support CENTCOM Headquarters Logistics Operating Environment 3.0. You will build predictive models for demand forecasting, inventory optimization, and anomaly detection to improve logistics performance.

A strong team will handle model development, training, and ongoing optimization in production environments. Requirements include a Masters degree, 5+ years of Python/R experience, TensorFlow/PyTorch, and a Top Secret clearance or eligibility.

Qualifications

• Masters degree required.
• 5+ years of experience; proficient in Python, R, TensorFlow, PyTorch and ML.
• Active Top Secret or TS eligibility; U.S. citizen.

Responsibilities

• Develop predictive models for operational logistics including demand forecasting, inventory optimization and anomaly detection.
• Deploy models to production environments and monitor performance.
• Collaborate with data scientists to train, recalibrate and improve models with new data.

Skills

Python

R

TensorFlow

PyTorch

Machine Learning

Education

Master's degree

Job description

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.

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
• 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.