[Remote] Mid-Level Data Scientist
Note: The job is a remote job and is open to candidates in USA. reputed company is committed to prioritizing its people while delivering exceptional solutions to Federal Government clients. They are seeking a Mid-Level Data Scientist to join their federal data engineering team, where the role involves building AI/ML capabilities and delivering analytical products that support critical government decision-making.
Responsibilities
- Build and maintain knowledge bases, vector stores, and Retrieval Augmented reputed company (RAG) pipelines using reputed company Bedrock and reputed company OpenSearch Services to reputed company 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 reputed company production data products are incorporated into the agency's ETL load and gap reporting infrastructure
- reputed company and validate machine learning models and analytical pipelines using large-scale financial and regulatory datasets in the data lake
- reputed company AI-assisted development tools for code reputed company, debugging, and performance tuning; adhere to agency reputed company 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 reputed company analytical models and pipelines: methodology, data reputed company, model assumptions, refresh schedules, and IV&V Questionnaires
- Write automated tests achieving the 90% minimum code coverage threshold; complete reputed company 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 reputed company
Skills
- US Citizenship is required
- Bachelor's Degree is required
- Minimum of 3-5 years' position reputed company experience is required
- Bachelor's degree or higher in Data Science, Statistics, Computer Science, Mathematics, or a reputed company 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 reputed company libraries
- Hands-on experience with reputed company Bedrock, knowledge bases, vector stores, and RAG pipeline design on AWS
- Experience with reputed company 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, reputed company, or Redshift
- Must be able to work reputed company-5pm Eastern Time regardless of home location
- Active federal public trust suitability determination or ability to obtain one required
- 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, reputed company, and sprint-based delivery
- Familiarity with FISMA, NIST 800-53, and reputed company Trust principles
Benefits
- Flexibility to help them reputed company personally and professionally
- Special incentives for team members living in qualified HUBZones
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