Data Scientist, TS​/SCI with Counterinteligence Polygraph Required

Location:
Alexandria, VA

Accrete is an agentic managed services company: an AI workforce that does high-stakes, judgement-heavy work for government and enterprise clients — at the economics of software, not labor.

At the core is Accrete’s Knowledge Engine, a dynamic context graph that captures an organization’s tacit knowledge, resolves data across silos, and builds a living, auditable ground truth. Expert agents reason against that ground truth to act on complex, high-stakes decisions — not just answer questions about them.

From national security to commercial operations, Accrete delivers the work on one platform, with unlimited expert agents and expert judgement.

As a Data Scientist, you will work across data management, analytics, and AI-enabled workflows.

You will be responsible for administering and maintaining data management tools, supporting data ingestion and organization, monitoring data quality, developing analytical products, and helping users and technical teams get maximum value from mission data.

This role requires someone who is equally comfortable managing data systems and analyzing the data within them
. You will work with large, complex, and often unstructured datasets and help ensure that data is accurate, accessible, properly organized, and ready to support operational and analytical use cases.

You will collaborate closely with engineers, AI/ML teams, product teams, and government customers to understand requirements, troubleshoot data issues, develop analytics, and continuously improve data workflows.

• Serve as a primary administrator and subject matter expert for data management and analytics tools
• Configure, maintain, and monitor data management platforms and associated workflows
• Manage data ingestion, organization, transformation, and movement across systems
• Establish and maintain data structures, schemas, metadata, taxonomies, and data classifications
• Monitor data pipelines and workflows for errors, inconsistencies, and data quality issues
• Troubleshoot data management and tool-related issues and coordinate with engineering teams when necessary
• Manage user access, permissions, configurations, and other administrative functions in accordance with security requirements
• Develop and maintain documentation for data management processes, configurations, workflows, and standards
• Support data onboarding and integration efforts for new datasets and sources
• Identify opportunities to automate repetitive data management and administrative processes
• Help establish and enforce data governance, quality, and management standards

• Analyze large, complex datasets to identify trends, patterns, anomalies, and actionable insights
• Develop recurring and ad hoc reports, dashboards, and analytical products for government customers and internal stakeholders
• Translate mission requirements into analytical questions, metrics, and data products
• Perform data cleaning, transformation, validation, and exploratory analysis
• Develop and perform simple data extraction tasks to capture and analyze data from structured and unstructured data repositories
• Create meaningful visualizations and communicate analytical findings to technical and non-technical audiences
• Investigate discrepancies and anomalies in datasets and determine their underlying causes
• Support data-driven decision-making through quantitative analysis and reporting

• Work with AI/ML engineers to prepare and structure data for AI and machine learning applications
• Support natural language processing, information retrieval, semantic search, and other AI-enabled use cases
• Help evaluate the quality, completeness, and usefulness of data used by AI systems
• Develop analytical…