AI-Driven Data Scientist for Enterprise Knowledge Graphs

Groundswell Corporation

McLean (VA)

On-site

USD 103,000 - 178,000

Full time

8 days ago
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Benefits offered by this job

Medical, dental, and vision
401K with 4% match
Paid time off
Tuition reimbursement & certification
Flexible schedule
On-site gym & childcare

Job summary

Groundswell Corporation in McLean, VA is seeking a Data Scientist to help build, configure and operate an AI-assisted platform that understands, governs and moves complex enterprise data. You will work with a small team on data prep, knowledge management, AI evaluation and platform decisions.

You will ensure outputs are accurate, explainable and trusted by mission stakeholders, partnering with data, software and cloud engineers to deploy improvements into production with measurable results.

Qualifications

  • Bachelor's degree in CS, data science, math, statistics, engineering or 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.

Responsibilities

  • Translate mission questions into objectives 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 metadata, data dictionaries and reference vocabularies.
  • Configure and tune AI-assisted capabilities that match, classify, rank and validate data.
  • Evaluate AI agents and workflows for accuracy, grounding and failure modes.
  • Build test sets and track quality over time.
  • Analyze human review feedback to improve platform performance.
  • Support data validation and reconciliation for trusted data.
  • Collaborate with data, software and cloud engineers to move improvements into production.
  • Create visualizations, narratives and briefings for technical and non-technical stakeholders.
  • Maintain reproducible code, experiments and documentation.

Skills

Python
SQL
Data analysis
Machine learning
Knowledge graphs
AI evaluation

Education

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

Tools

Neo4j
Cypher
LangGraph
Pandas
NumPy
scikit-learn

Job description

Groundswell Corporation in McLean, VA is seeking a Data Scientist to help build, configure and operate an AI-assisted platform that understands, governs and moves complex enterprise data. You will work with a small team on data prep, knowledge management, AI evaluation and platform decisions.

You will ensure outputs are accurate, explainable and trusted by mission stakeholders, partnering with data, software and cloud engineers to deploy improvements into production with measurable results.

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