Senior Data Scientist

Novaces Llc; Baltimore (MD); Hybrid; USD 120,000 - 170,000; Full time

Job summary

NOVACES seeks a Senior Data Scientist to design, develop, and maintain data-driven solutions supporting Coast Guard SFLC operations in Baltimore, MD. The role will apply advanced analytics, data modeling, ETL, and dashboards to improve data quality, accessibility, and decision-making.

You will integrate data from multiple systems, build predictive models for asset readiness and forecasting, and deliver actionable insights to leadership.

Qualifications

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

Responsibilities

• Design, develop, and maintain data-driven solutions to support SFLC operations and logistics integration.
• Support data integration and ETL activities; consolidate data from multiple systems; automate data workflows.
• Develop predictive and statistical models and dashboards to provide actionable insights to SFLC leadership.

Skills

Data science

Analytics

Data engineering

Modeling

BI reporting

Education

Bachelor’s degree in data science / related field

Advanced degree preferred

Tools

ETL

SQL

Python

R

Cloud computing

Dashboards

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.