SCI with Counterinteligence Polygraph Required

Accrete•Alexandria, VA

1d•$140,000 - $170,000•Onsite

About The Position

Accrete is an agentic managed services company that utilizes an AI workforce to perform high-stakes, judgment-heavy work for government and enterprise clients, aiming for the economics of software rather than labor. At its 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 this ground truth to act on complex, high-stakes decisions. The company delivers work on a single platform with unlimited expert agents and expert judgment, serving sectors from national security to commercial operations. As a Data Scientist Mid, you will be integral to data management, analytics, and AI-enabled workflows. Your responsibilities will include administering and maintaining data management tools, supporting data ingestion and organization, monitoring data quality, developing analytical products, and ensuring users and technical teams derive maximum value from mission data. This role demands a blend of skills in managing data systems and analyzing the data within them. You will engage with large, complex, and often unstructured datasets, ensuring data accuracy, accessibility, proper organization, and readiness for operational and analytical use cases. Collaboration with engineers, AI/ML teams, product teams, and government customers is key to understanding requirements, troubleshooting data issues, developing analytics, and continuously improving data workflows.

Requirements

Active TS//SCI clearance with a Counterintelligence or Lifestyle Polygraph
2–5 years of experience in data science, data analytics, data management, business intelligence, or a related technical field
Bachelor's degree in Data Science, Library Science, Statistics, Mathematics, Information Systems, Engineering, or a related discipline
Experience administering, configuring, or supporting data management, analytics, database, or enterprise data platforms
Experience with ontology development and maintenance on technical systems
Strong SQL skills and experience querying and analyzing relational and/or large-scale datasets
Strong Python skills for data analysis and automation
Experience with data cleaning, transformation, validation, and quality assurance
Experience developing reports, dashboards, visualizations, and other analytical products
Understanding of data governance, metadata, data quality, and data lifecycle management
Strong attention to detail and ability to identify inconsistencies or issues in complex datasets
Strong analytical and problem-solving skills
Ability to troubleshoot technical issues and work collaboratively with engineering teams
Ability to communicate technical information clearly to both technical and non-technical stakeholders
Ability to work independently in a fast-paced environment with evolving requirements

Nice To Haves

Experience supporting the Department of Defense, Intelligence Community, or other federal mission
Experience administering enterprise data management or analytics platforms
Experience with data cataloging, metadata management, data lineage, or data governance tools
Experience with analytic and visualization platforms such as Dataiku, Data Robot, R, SPSS, Tableau, Power BI, Looker, or similar
Experience with relational databases, data warehouses, data lakes, or cloud data platforms
Experience with ETL/ELT tools and data integration workflows
Experience with APIs and automated data ingestion
Experience with Spark or other distributed data processing technologies
Experience with AWS, Azure, or other cloud environments
Experience working with classified, sensitive, or air-gapped data environments
Experience supporting AI/ML systems, including NLP, LLMs, embeddings, RAG, or information retrieval
Ability to obtain and maintain additional security clearance accesses to Special Access Programs (SAP) or Access Compensatory Control Measures (ACCM)

Responsibilities

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 approaches for evaluating model and system performance
Contribute to data pipelines and workflows that support production AI capabilities
Identify new opportunities to use automation and AI to improve data management and analysis
Work directly with government customers and mission users to understand data requirements and analytic tasks
Translate operational requirements into practical data management and analytic solutions
Support demonstrations, testing, and deployment of data capabilities in customer environments
Effectively and appropriately operate, process, and protect data from disclosure at the Controlled Unclassified Information up to the TOP SECRET//SCI level

Benefits

Competitive Salary: Aligned with experience and market standards
Comprehensive Insurance: Health, dental, and vision coverage for you and your family
401(k) Plan: Build your financial future with our retirement savings plan
Growth & Development: Access professional learning opportunities and career advancement support
Onsite Perks: Enjoy catered lunches, snacks, and a fully stocked kitchen
Team Bonding: Company-sponsored happy hours and social events to connect and unwind

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