Data Scientist - AI, Knowledge Graph & ML Platform

Groundswell; Maryland; On-site; USD 103,000 - 178,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vis

Flexible Spending Account

4% 401K Match (immediate vesting)

Paid Time Off

Tuition reimbursement, certification &

Flexible work schedule

On-site gym and childcare option

Job summary

Groundswell, a premier technology integrator serving federal agencies, is seeking a Data Scientist to help build an AI-assisted data platform. You will work with a small team on data preparation, knowledge management, AI evaluation and platform decisions to ensure outputs are accurate, explainable and trusted.

The role emphasizes applying statistics and ML to enterprise data, building metadata and vocabularies, and collaborating with cloud engineers to move improvements into production.

Qualifications

• Bachelor's degree in CS, Data Science, Mathematics, Statistics, Engineering or a related field; advanced degree preferred.
• 5+ years applying statistics, ML, 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.

Responsibilities

• Translate mission and customer data questions into clear objectives, success measures and evaluation criteria.
• Profile, clean and characterize complex multi-source enterprise data. Identify gaps, conflicts, quality issues and relationships that affect downstream use.
• Build and maintain the metadata, data dictionaries and reference vocabularies that ground the data platform in each customer environment.
• 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 so integrated or migrated data can be trusted.
• Partner with data, software and cloud engineers to move validated improvements into production with version control and measurable results.
• Create clear visualizations, narratives and briefings for technical and non-technical stakeholders, without overstating certainty.
• Handle sensitive data under appropriate access controls, governance and auditability. Maintain reproducible code, experiments and documentation.
• Contribute data science expertise to solution planning and proposal efforts as needed.

Skills

Python & SQL

Knowledge graphs

Language models

US Citizenship

Public Trust Clearance

Education

Bachelor's degree in CS/Math/Stats/Engineering

Advanced degree preferred

Tools

Pandas

NumPy

Scikit-learn

Job description

Groundswell, a premier technology integrator serving federal agencies, is seeking a Data Scientist to help build an AI-assisted data platform. You will work with a small team on data preparation, knowledge management, AI evaluation and platform decisions to ensure outputs are accurate, explainable and trusted.

The role emphasizes applying statistics and ML to enterprise data, building metadata and vocabularies, and collaborating with cloud engineers to move improvements into production.