Mid-Level Data Scientist

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🕒 Junho 10

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Simple Technology Solutions

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🏛️ Governo

🤖 Inteligência Artificial

Government • Cloud • Artificial Intelligence

A Simple Technology Solutions é uma pequena empresa HUBZone que se especializa em modernização de TI e experiência digital para operações governamentais. Ela foca na digitalização dos processos governamentais usando tecnologias nativas de nuvem e práticas Ágeis para oferecer soluções digitais full-stack. A empresa enfatiza segurança, escalabilidade e interoperabilidade em sua abordagem empresarial. Eles trabalham no aprimoramento de ambientes de nuvem, migração de sistemas legados de TI e promoção de práticas de DevSecOps. Além disso, a Simple Technology Solutions desenvolve estratégias de gerenciamento de dados empresariais usando machine learning e IA, moderniza aplicações e fornece serviços de centro de contato em nuvem. Eles atendem principalmente agências do governo federal, especialmente em missões de aplicação da lei e segurança pública.

Descrição

• Build and maintain knowledge bases, vector stores, and Retrieval Augmented Generation (RAG) pipelines using Amazon Bedrock and Amazon OpenSearch Services to make financial and regulatory datasets AI-ready for advanced analytics and machine learning consumption • Support the development, validation, and operationalization of statistical outputs and derived data products; coordinate with the agency data science team and SME data scientists to implement Airflow DAGs and AWS Glue jobs that ensure automated, recurring updates • Support transition of data science outputs into production by validating accuracy, completeness, and reporting readiness; ensure all production data products are incorporated into the agency's ETL load and gap reporting infrastructure • Develop and validate machine learning models and analytical pipelines using large-scale financial and regulatory datasets in the data lake • Leverage AI-assisted development tools for code generation, debugging, and performance tuning; adhere to agency security standards and applicable federal AI governance requirements • Write Python 3.10 code conforming to PEP 8; integrate analytical pipelines with the agency's ETL metadata infrastructure and produce required load and gap reporting outputs • Support entity resolution work to ensure consistent identification and linkage of records across high-volume financial datasets • Produce required documentation for all analytical models and pipelines: methodology, data lineage, model assumptions, refresh schedules, and IV&V Questionnaires • Write automated tests achieving the 90% minimum code coverage threshold; complete security scans at least once per sprint as part of the Definition of Done per OWASP ASVS Level 2 • Participate in 2-week sprint ceremonies, quarterly PI planning, backlog refinement, and agile delivery using JIRA and GitHub

🎯 Requisitos

• US Citizenship is required • Bachelor's Degree is required • minimum of 3-5 years position related experience is required • Proficiency in Python 3.10 (PEP 8) including pandas, NumPy, scikit-learn, and related libraries • Hands-on experience with Amazon Bedrock, knowledge bases, vector stores, and RAG pipeline design on AWS • Experience with Amazon OpenSearch Services or equivalent vector/search infrastructure • Experience with Apache Airflow (MWAA) for DAG-based pipeline orchestration • Familiarity with AWS Glue, S3, and Apache Spark for large-scale data processing • Experience with SQL and query tools such as Trino, Athena, or Redshift • Experience working with large-scale financial or regulatory datasets is strongly preferred • Knowledge of federal AI governance requirements and responsible AI practices in a government setting • Experience with agile development, CI/CD pipelines, GitHub, and sprint-based delivery • Familiarity with FISMA, NIST 800-53, and Zero Trust principles • Must be able to work 8am-5pm Eastern Time regardless of home location • Active federal public trust suitability determination or ability to obtain one required

🏖️ Benefícios

• Special incentives for team members living in qualified HUBZones • Flexibility to help them thrive personally and professionally