Applied Data Scientist, AI Data Platforms

Groundswell

. Build, configure and operate an AI-assisted platform that helps organizations understand, govern and move complex enterprise data .

Posted 9/17/2026full-timeRemote • Maryland • United StatesMid-LevelSenior💰 $103,307 - $178,090 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, machine learning, and AI-assisted workflows, with a strong focus on data quality, validation, and governance. Proficient in Python and SQL, with experience in building and maintaining complex data systems and visualizations for diverse stakeholders.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyMachine Learning ApplicationData Quality EvaluationPublic Trust Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

StatisticsData AnalysisKnowledge GraphsGraph Data ModelingLanguage ModelsEntity ResolutionTime-Series AnalysisAnomaly DetectionETL ProcessesCloud Data Services

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

PandasNumPyScikit-LearnNeo4jCypherLangGraphAWS

Certifications & Qualifications

Data Science CertificationMachine Learning CertificationCloud CertificationAnalytics Certification

Industry Keywords

Enterprise Data GovernanceData MigrationHuman-in-the-Loop AIControlled-Change EnvironmentsFormal Authorization Environments

Tech Stack

Tools & technologies

AWSCloudERPETLNeo4jNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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