Senior Data Scientist: Logistics Analytics & Modeling

NOVACES; Baltimore (MD); Hybrid; USD 120,000 - 160,000; Full time

Job summary

NOVACES seeks a Senior Data Scientist to design, develop, and maintain data-driven solutions for SFLC operations in Baltimore, MD. The role emphasizes data integration, ETL, and automated workflows across logistics systems to improve data quality and decision making.

Responsibilities include building predictive models, dashboards, and visualizations; supporting asset readiness forecasting, inventory management, and operational optimization, with a mix of onsite and remote work to align with

Qualifications

• Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, operations research, information systems, analytics, or a related technical field.
• 8+ years experience in data science, data engineering, analytics, modeling, or business intelligence in federal, DHS, DoD, Coast Guard, logistics, or operations environments.
• Relevant data science, analytics, cloud, Agile, or project-related certifications helpful. Tier 1 clearance is obtainable.

Responsibilities

• Design, develop, and maintain data-driven solutions that support SFLC business operations and logistics integration.
• Support data integration and ETL activities; consolidate data from multiple systems; automate data workflows.
• Develop predictive and statistical models; design dashboards and visualizations for leadership insights.
• Assist asset readiness forecasting, inventory management, and operational optimization.

Skills

Data science

Data engineering

Analytics

Modeling

Business intelligence

Education

Bachelor's degree in data science, computer science, statistics, mathematics, engineering, operations research, information systems, analytics, or related field

Advanced degree preferred

Tools

ETL

Dashboards

Data visualization tools

Cloud platforms

Job description

NOVACES seeks a Senior Data Scientist to design, develop, and maintain data-driven solutions for SFLC operations in Baltimore, MD. The role emphasizes data integration, ETL, and automated workflows across logistics systems to improve data quality and decision making.

Responsibilities include building predictive models, dashboards, and visualizations; supporting asset readiness forecasting, inventory management, and operational optimization, with a mix of onsite and remote work to align with