Senior Data Scientist - US Coast Guard

TLN Worldwide Enterprises Inc; Baltimore (MD); On-site; USD 120,000 - 170,000; Full time

Job summary

TLN Worldwide Enterprises Inc. seeks a Senior Data Scientist to design, develop, and maintain data-driven solutions for SFLC operations, logistics integration, asset readiness, and decision-making. You will transform complex datasets into actionable insights and build dashboards for leadership.

Responsibilities include ETL pipeline management, data quality, and collaborating with stakeholders to drive operational improvements across the organization.

Qualifications

Responsibilities

• Design, develop, and maintain data-driven solutions supporting SFLC business operations and logistics integration.
• Build and optimize ETL pipelines across multiple data sources.
• Create dashboards, reports, and visuals for leadership and stakeholders.
• Prepare data sets by cleaning, transforming, and validating data for analytics.

Skills

Data analysis

Data visualization

ETL development

Programming

Stakeholder comms

Tools

Python

R

SQL

Power BI

Tableau

Excel

Job description

Description

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support SFLC business operations, logistics integration, asset readiness, and decision-making. This role will use advanced analytics, data modeling, automation, ETL processes, and data visualization to improve data quality, accessibility, usability, and operational insight across the organization.

The ideal candidate will have strong technical experience working with logistics, business, operational, or enterprise data and will be able to transform complex datasets into actionable insights for SFLC leadership and stakeholders.

Key Responsibilities

• Design, develop, and maintain data-driven solutions supporting Coast Guard business operations and logistics integration.
• Use programming languages, data tools, and analytics platforms within the Coast Guard data systems environment.
• Develop, implement, and manage ETL processes to consolidate data from multiple sources.
• Integrate data from transportation management systems, warehouse management systems, external data providers, and other logistics or business sources.
• Automate data workflows to ensure timely, accurate, and consistent availability of data for analytics and reporting.
• Ensure seamless data flow and integration across platforms, systems, and business functions.
• Collect, clean, preprocess, and validate data to ensure high quality and consistency.
• Support development and implementation of predictive and statistical models.
• Support analytics related to asset readiness forecasting, inventory management, logistics performance, and operational optimization.
• Design, develop, and maintain dashboards, reports, and data visualizations for SFLC leadership and stakeholders.
• Provide actionable insights through data analysis, modeling, and visualization.
• Support improvements to data quality, accessibility, and usability across the organization.

Requirements

• Experience designing, developing, and maintaining data-driven analytics solutions.
• Experience developing and managing ETL processes across multiple data sources.
• Experience with data cleaning, preprocessing, validation, automation, and workflow development.
• Experience supporting predictive modeling, statistical modeling, or advanced analytics.
• Experience designing dashboards, reports, or visualizations that support business or logistics decision-making.
• Strong programming, data analysis, and data visualization skills.
• Ability to communicate technical findings to leadership and non-technical stakeholders.

Preferred Qualifications

• Experience supporting Coast Guard, DHS, DoD, federal logistics, maintenance, supply, or asset readiness environments.
• Experience with logistics systems, transportation management systems, warehouse management systems, or external logistics data providers.
• Experience with Python, R, SQL, Power BI, Tableau, Excel, or similar data science and visualization tools.
• Experience supporting inventory management, operational optimization, asset readiness forecasting, or logistics integration.
• Familiarity with enterprise data quality, data governance, and data accessibility best practices.

Core Competencies

• Data science
• ETL development
• Data modeling
• Predictive analytics
• Statistical analysis
• Data visualization
• Dashboard development
• Data quality
• Workflow automation
• Logistics analytics
• Business operations support