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# Senior Data Scientist

- **Company:** Novaces, L.L.C.
- **Location:** Baltimore, MD, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Business Systems, Information Systems, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Visualization, Warehouse Management Systems, Information Technology
- **Published:** July 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=59aec3e2dcb730e0

## About the Role

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.

## Description

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.


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