Senior Data Scientist

Analytica
United States
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Technical communication","Problem-solving","Cross-functional collaboration"]

Develop and validate interpretable analytical signals for spending, concentration, duplication, and policy alignment within a secure Federal data analytics and AI modernization platform. Build ETL/ELT pipelines for structured and unstructured grants and financial data, perform feature engineering and embeddings for retrieval workflows, and integrate data for search, RAG, visualization, and traceable AI-assisted decision support. Collaborate across engineering teams to ensure quality, provenance, documentation, and compliance in secure environments.

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FursaFursa
Analytica
Analytica
1 day ago

Senior Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 58 minutes agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Develop and validate interpretable analytical signals for spending, concentration, duplication, and policy alignment within a secure Federal data analytics and AI modernization platform. Build ETL/ELT pipelines for structured and unstructured grants and financial data, perform feature engineering and embeddings for retrieval workflows, and integrate data for search, RAG, visualization, and traceable AI-assisted decision support. Collaborate across engineering teams to ensure quality, provenance, documentation, and compliance in secure environments.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain data pipelines and ETL/ELT workflows supporting machine learning, NLP, retrieval, and advanced analytics.
  • •Prepare, transform, curate, and validate structured and unstructured grants and financial data for AI/ML applications.
  • •Perform feature engineering, document processing, chunking, embeddings generation, and dataset preparation for AI-assisted analytics and retrieval workflows.
  • •Implement and maintain data quality, validation, provenance, lineage, versioning, metadata, and source traceability across the data lifecycle.
  • •Prepare data for search, retrieval-augmented generation (RAG), visualization, analytics, and AI-assisted decision support; troubleshoot data pipeline, transformation, and integration issues and document data architecture and operational procedures.

Pay and Benefits

Perks:Health Insurance401kLearning Budget

Key Requirements

  • •Demonstrated experience building, integrating, and operating data pipelines for machine learning, NLP, information retrieval, or advanced analytics.
  • •Hands-on experience with feature engineering, document processing, embeddings, curated datasets, and reproducible data workflows.
  • •Strong proficiency in Python and SQL for data engineering, data transformation, automation, and model-support workflows.
  • •Experience implementing data quality controls, validation, provenance, metadata, versioning, lineage, and source traceability for AI/ML or data-intensive systems.
  • •U.S. citizenship and ability to obtain and maintain Top Secret eligibility for contractor personnel (Active Top Secret clearance highly preferred).
Experience:FederalHealthcareNational securityData modernizationAI/MLNLP
Skills:Technical communicationProblem-solvingCross-functional collaboration
Tech Stack:PythonSQLETLELTNLPRetrievalMachine learningFeature engineeringEmbeddingsData pipelinesData validationProvenanceMetadataLineageVersioningRAGData visualizationLinuxPostgreSQLMicrosoft SQL Server

Eligibility

Security Clearance:Top Secret

Company Brief

Analytica
Analytica is a federal-focused consulting and technology services firm delivering data, analytics, AI, and IT modernization solutions to health, civilian, and national security agencies in the U.S.
Industry: Consulting
Company Size: Medium (51 to 250 employees)
Revenue: USD 25M to 50M
Growth: Established Company
Headquarters: Washington, United States
Founded: 2009
Glassdoor
Glassdoor: 3.4
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