Senior Data Scientist

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

Note: This position is contingent on contract award.

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center Business Operations Division support opportunity in Baltimore, MD.

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support SFLC business operations and logistics integration. This role will leverage advanced analytics, data modeling, automation, and data engineering methods to enhance data quality, accessibility, usability, and decision‑making across the organization.

The successful candidate will support data integration and ETL activities, consolidate data from multiple logistics and business systems, automate data workflows, and help ensure timely, accurate, and consistent data availability for analytics and reporting. The role may involve working with data from transportation management systems, warehouse management systems, Coast Guard logistics systems, and other internal or external data sources.

Work may include collecting, cleaning, and preprocessing data; developing and implementing predictive and statistical models; supporting asset readiness forecasting, inventory management, and operational optimization; and designing dashboards and data visualizations that provide actionable insights to SFLC leadership and stakeholders.

This is a proposal‑contingent position supporting anticipated work on site Baltimore, MD. Work may be performed through a mix of onsite and remote support from a CONUS location, subject to Government direction and approval.

Education: Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, operations research, information systems, analytics, or a related technical field. Advanced degree preferred.
Experience: 8+ years experience in data science, data engineering, analytics, modeling, or business intelligence experience supporting federal, DHS, DoD, Coast Guard, logistics, supply chain, readiness, operations research, or business performance environments.
Certifications: Relevant data science, analytics, cloud, Agile, or project-related certifications helpful. Must be able to obtain a Tier 1 clearance.