AI Data Scientist for Enterprise Knowledge Graph Platform

Groundswell; McLean (VA); On-site; USD 103,000 - 178,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401K match

Paid time off

Tuition reimbursement

Flexible schedule

On-site gym

Childcare option

Job summary

Groundswell seeks a Data Scientist to build and operate an AI-assisted data platform that governs complex enterprise data. You’ll work with a small team to prepare the platform for mission use, handling data prep, knowledge management, AI evaluation, and decision-driven analysis.

You will ensure outputs are accurate, explainable and trusted by mission stakeholders, configuring AI capabilities and collaborating with engineers to deploy improvements.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering or 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).
• 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.

Responsibilities

• Translate mission and customer data questions into objectives, success measures and evaluation criteria.
• Profile, clean and characterize complex multi-source enterprise data.
• Build and maintain metadata, data dictionaries and reference vocabularies ground data platform in 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 and failure modes.
• Analyze human review feedback to improve platform performance.
• Support data validation and reconciliation for trusted data integration or migration.
• Collaborate with data, software and cloud engineers to deploy improvements into production.
• Create clear visualizations, narratives and briefings for technical and non-technical stakeholders.

Skills

Python

SQL

Statistics

Machine Learning

Knowledge graphs

Language models

Public Trust Clearance

Education

Bachelor's degree in CS/DS/Math/Statistics/Engineering

Tools

Pandas

NumPy

scikit-learn

Job description

Groundswell seeks a Data Scientist to build and operate an AI-assisted data platform that governs complex enterprise data. You’ll work with a small team to prepare the platform for mission use, handling data prep, knowledge management, AI evaluation, and decision-driven analysis.

You will ensure outputs are accurate, explainable and trusted by mission stakeholders, configuring AI capabilities and collaborating with engineers to deploy improvements.