Ascension LLC is seeking a Senior Data Scientist to support mission-critical logistics integration and operations research initiatives for the U.S. Coast Guard Surface Forces Logistics Center (SFLC). This role is essential to enabling data-driven decision-making across fleet logistics, asset readiness, and supply chain operations.

The ideal candidate is a high-performing data professional who thrives at the intersection of data engineering, analytics, and applied AI/ML, with the ability to translate complex logistics data into actionable insights that directly impact operational readiness.

This role is critical to the success of the engagement as it supports the Coast Guard’s ability to integrate logistics systems, improve data quality, and optimize asset lifecycle management, directly contributing to national security and mission readiness.

Position Summary

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support logistics integration, asset management, and operational optimization. This includes building ETL pipelines, developing predictive models, and delivering dashboards that inform leadership decisions.

The ideal candidate will be:

• A detail-oriented and analytical problem solver who can work independently in a fast-paced federal environment
• Self-driven and adaptable, capable of navigating ambiguity with minimal oversight
• Skilled at anticipating data challenges, designing scalable solutions, and managing competing priorities
• Comfortable working across data engineering, data science, and stakeholder engagement functions

This role will directly support:

• Data integration across logistics systems
• Predictive analytics for readiness and inventory forecasting
• Data quality improvement and governance
• Executive-level reporting and visualization

Tools and environments may include: Python, R, SQL, Power BI, Tableau, Azure, AWS, ETL frameworks, and Coast Guard data systems

Day-to-Day Responsibilities

• Develop and maintain ETL pipelines to integrate data from logistics, supply chain, and external systems
• Design and implement data models and predictive analytics solutions for asset readiness and inventory forecasting
• Analyze large datasets to identify trends, inefficiencies, and optimization opportunities
• Build and maintain interactive dashboards and visualizations for leadership decision support
• Automate data workflows to ensure timely, accurate, and consistent data availability
• Perform data cleansing, validation, and transformation to improve data quality
• Collaborate with stakeholders to define data requirements and analytical use cases
• Translate complex analytical findings into clear, actionable insights for non-technical audiences
• Support continuous improvement initiatives through data-driven recommendations
• Document data processes, models, and methodologies in accordance with federal standards