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IT Architect, Data Scientist
DLH CorporationCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in cloud architecture, data interoperability, and security engineering, with a strong focus on compliance with federal cybersecurity regulations. Proficient in data science methodologies, predictive modeling, and big data manipulation, while effectively communicating technical concepts to diverse stakeholders.
Highest-signal resume keywords
Cloud ArchitectureData InteroperabilityPredictive ModelingPython ProgrammingAgile Methodologies
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Provide support in cloud architecture, data interoperability, and security engineering for the SCHARE platform and related data environments
- Configure secure cloud environments
- Develop metadata architecture
- Integrate systems across platforms
- Enable APIs
- Ensure compliance with agency and federal cybersecurity and information-management regulations
- Support ATO-related activities with the agency CIO organization
- Prepare technical artifacts and provide remediation support
- Implement and maintain technical controls
- Remediate vulnerabilities and secure data environments for ongoing compliance
- Lead data science strategy for a custom data platform
- Collaborate with scientists and trainees
- Collaborate with server/storage, network, and application-development service areas to design, develop, and test solutions
- Communicate findings, recommendations, and solutions to technical and non-technical stakeholders
- Design tools for optimizing data collection, validation, and analysis
Requirements
What you’ll need- Bachelor’s degree in data science, bioinformatics, or a related field, or an equivalent combination of education and experience and appropriate technical certifications
- At least twelve (12) years of experience in information technology
- Four (4) years leading or performing data engineering or related functions
- Strong problem decomposition skills
- Experience manipulating big data
- Experience working in Agile teams
- Demonstrated oral and written communication skills
- Deep interest in data science and artificial intelligence
- Advanced experience in predictive modeling and pattern recognition
- Strong background in data mining, statistics, and mathematical modeling
- Proficiency in Python, R, and MATLAB
- Thorough understanding of federal data-security requirements, especially PII and PHI
- Must be able to obtain a Public Trust clearance
Benefits
Comp & perks- Personal Time Off (PTO)
- Medical insurance
- Dental insurance
- Vision insurance
- Supplemental life with AD&D
- Disability coverage
- Flexible spending accounts
- 401(k) Retirement Plan with matching component
- Training and career development
- Best-in-class e-learning suite for formal and informal learning
- Professional and technical certification preparation
- Education assistance at accredited institutions
- Performance incentives and program-specific awards may be available
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringMetadata ArchitectureBig Data ManipulationData MiningStatistical AnalysisMathematical ModelingAPI IntegrationTechnical Controls ImplementationVulnerability RemediationData Collection Optimization
Soft Skills
Problem DecompositionOral CommunicationWritten CommunicationCollaboration
Tools & Technologies
RMATLAB
Certifications & Qualifications
Public Trust Clearance
Industry Keywords
CybersecurityInformation ManagementData ScienceArtificial IntelligenceFederal Data-Security RequirementsPIIPHI