Data Scientist

Simple Technology Solutions

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Build and maintain knowledge bases, vector stores, and Retrieval Augmented Generation (RAG) pipelines using Amazon Bedrock and Amazon OpenSearch Services
  • Support the development, validation, and operationalization of statistical outputs and derived data products
  • Coordinate with agency data science teams to implement Airflow DAGs and AWS Glue jobs
  • Validate accuracy, completeness, and reporting readiness for production data products
  • Develop and validate machine learning models and analytical pipelines using large-scale financial and regulatory datasets
  • Write Python 3.10 code conforming to PEP 8 and integrate with ETL metadata infrastructure
  • Support entity resolution work for high-volume financial datasets
  • Produce documentation for methodology, data lineage, model assumptions, and refresh schedules
  • Write automated tests achieving a minimum 90% code coverage
  • Participate in agile ceremonies including 2-week sprints and quarterly PI planning

Requirements

  • Bachelor's degree or higher in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
  • 3-5 years of experience in data science, machine learning engineering, or quantitative analytics
  • Proficiency in Python 3.10 (pandas, NumPy, scikit-learn)
  • Hands-on experience with Amazon Bedrock, vector stores, and RAG pipeline design
  • Experience with Amazon OpenSearch Services or equivalent vector/search infrastructure
  • Experience with Apache Airflow (MWAA) for pipeline orchestration
  • Familiarity with AWS Glue, S3, and Apache Spark
  • Experience with SQL and tools such as Trino, Athena, or Redshift
  • US Citizenship required
  • Ability to work 8am-5pm Eastern Time
  • Ability to obtain a federal public trust suitability determination

Preferred Qualifications

  • Experience working with large-scale financial or regulatory datasets
  • Knowledge of federal AI governance requirements and responsible AI practices
  • Experience with agile development, CI/CD pipelines, and GitHub
  • Familiarity with FISMA, NIST 800-53, and Zero Trust principles

About the Company

Simple Technology Solutions (STS) provides exceptional solutions to Federal Government clients. Recognized as a "Best Place to Work," STS fosters a culture of collaboration, continuous learning, and excellence.

Skills & tools

PythonAWSMachine Learning

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Bachelor's degree in quantitative field
  2. 023-5 years data science experience
  3. 03Python proficiency
  4. 04AWS Bedrock and RAG experience
  5. 05US Citizenship
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