Applied Data Scientist, AI Data Platforms

Job not on LinkedIn

🕒 September 17

🦀 Maryland, Virginia – Remote

🦀 Maryland – Remote ⚔️ Virginia – Remote

💵 $103.3k - $178.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Groundswell

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

🎖️ Defense

Consulting • Logistics • Defense

Groundswell is a leading technology partner for federal agencies, specializing in delivering innovative solutions for modernization and efficiency. With expertise in platforms like Appian, SAP, Workday, and UiPath, Groundswell focuses on empowering federal agencies with low-code development, advanced ERP, and automation technologies. The company partners with federal organizations to enhance recruitment strategies, manage defense transportation, and optimize project management. Groundswell's mission is to challenge the traditional government contracting approach by offering cutting-edge, agile, and tailored technology solutions to help federal agencies meet their goals.

📋 Description

• Build, configure and operate an AI-assisted platform that helps organizations understand, govern and move complex enterprise data • Translate mission and customer data questions into clear objectives, success measures and evaluation criteria • Profile, clean and characterize complex multi-source enterprise data • Identify data gaps, conflicts, quality issues and relationships affecting downstream use • Build and maintain metadata, data dictionaries and reference vocabularies for customer environments • Configure and tune AI-assisted capabilities that match, classify, rank and validate data across systems • Evaluate AI agents and language-model workflows for accuracy, grounding, consistency and failure modes • Build test sets and track quality over time • Analyze human review feedback to find systematic errors and improve platform performance • Support data validation and reconciliation for trusted integrated or migrated data • Partner with data, software and cloud engineers to move validated improvements into production with version control and measurable results • Create visualizations, narratives and briefings for technical and non-technical stakeholders • Handle sensitive data under access controls, governance and auditability • Maintain reproducible code, experiments and documentation • Contribute data science expertise to solution planning and proposal efforts as needed

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering or a related field; advanced degree preferred • 5+ years applying statistics, machine learning, data analysis or related quantitative methods to real-world problems • Strong Python and SQL skills with common data science libraries (pandas, NumPy, scikit-learn or comparable) • Experience with knowledge graphs, graph data modeling or semantic technologies such as ontologies and taxonomies • Hands-on experience with language models or AI-assisted workflows, including evaluating output quality • Must be a U.S. Citizen per contract requirements • Must be able to obtain and maintain a Public Trust Clearance in accordance with contract requirements • Preferred: graph databases and query languages such as Neo4j and Cypher • Preferred: vector search, embeddings, RAG, and AI agent frameworks such as LangGraph • Preferred: entity resolution, record linkage, and systems for matching, classifying, linking, or ranking records • Preferred: enterprise data migration, ETL, or modernization, particularly for ERP or HR systems • Preferred: time-series analysis, anomaly detection, model monitoring, and drift analysis • Preferred: cloud data and ML services on AWS or another major cloud platform • Preferred: human-in-the-loop AI workflows, experiment tracking, and model evaluation • Preferred: experience working in segmented networks, controlled-change environments, or formal authorization environments • Preferred: active Public Trust Clearance • A relevant certification in data science, machine learning, cloud or analytics is preferred

🏖️ Benefits

• Comprehensive medical, dental, and vision plans • Flexible Spending Account • 4% 401K Match (immediate vesting) • Paid Time Off • Tuition reimbursement, certification programs, and professional development • Flexible work schedule • On-site gym and childcare option