Simple Technology Solutions
Mid-LevelDataScientist
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“Mid-Level Data Scientist at Simple Technology Solutions. Skills: Data Science, Machine Learning, AWS, RAG pipelines. Build knowledge bases. Build vector stores”
What You'll Achieve.
Deliver production-ready analytical products; Ensure automated, recurring updates; Produce required documentation
Industry & Context.
Quantitative skills
US Citizenship required, Work 8am-5pm ET, Obtain public trust
What They're Looking For.
Must Have
US Citizenship required, Bachelor's degree required, 3-5 years experience, Python 3.10 proficiency, SQL proficiency
Nice to Have
Master's degree preferred, Experience with large-scale financial datasets, Experience with regulatory datasets, Experience with federal AI governance, Experience with responsible AI practices, Familiarity with FISMA, Familiarity with NIST 800-53, Familiarity with Zero Trust principles, Active federal public trust suitability determination
What You'll Do.
Build knowledge bases
Make datasets AI-ready
Support development of statistical outputs
Support validation of statistical outputs
Support operationalization of statistical outputs
Support development of derived data
Support validation of derived data
Support operationalization of derived data
Coordinate with agency data science team
Coordinate with SME data scientists
Implement Airflow DAGs
Implement AWS Glue jobs
Ensure automated updates
Ensure recurring updates
Support transition of data science outputs
Validate completeness
Ensure production data products incorporated
Develop machine learning models
Validate machine learning models
Develop analytical pipelines
Validate analytical pipelines
Adhere to agency security standards
Adhere to federal AI governance
Write Python 3.10 code
Integrate analytical pipelines
Produce required load reporting
Produce required gap reporting
Support entity resolution work
Ensure consistent identification
Ensure consistent linkage
Produce required documentation
Complete security scans
How You'll Work.
Team & Collaboration
Agency data science team; SME data scientists; Agile delivery; Sprint ceremonies; PI planning; Backlog refinement
Communication Scope
Documentation
Process & Methodology
Agile delivery, JIRA, GitHub
Full Job Description
At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they’re parents, friends, volunteers, artists, and athletes. That’s why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients. Our culture is built on collaboration, continuous learning, and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a “Best Place to Work,” we believe a range of perspectives helps us drive innovation and exceed customer expectations. At STS, taking care of our people isn’t a perk—it’s the standard. As a HUBZone company, we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map HERE to see if you qualify! Simple Technology Solutions is looking for a Mid-Level Data Scientist to add to our team. Quick Position Overview: US Citizenship is required Bachelor's Degree is required minimum of 3-5 years' position related experience is required The Role: STS is looking for a Mid-Level Data Scientist to join a federal data engineering team. You will work on a modern AWS-based federal data platform, building AI/ML capabilities and delivering production-ready analytical products that support critical government decision-making. A curiosity-driven mindset, strong quantitative skills, and the ability to translate analytical outputs into production-ready data products conforming to agency standards are prerequisites for this position. This position is contingent upon contract award. The Mid-Level Data Scientist at STS will: 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 d
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