Simple Technology Solutions - Mid-Level Data Scientist

• 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 (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 • STS is committed to equal employment opportunity and merit-based employment practices. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation in all employment practices and decisions in accordance with applicable federal, state, and local laws.