IT Architect/Data Scientist (Job 1499)

DLH

3d•$180,000 - $190,000•Remote

About The Position

This role supports a client with cloud architecture, data interoperability, and security engineering for the SCHARE platform and related data environments. Responsibilities include secure cloud configuration, metadata architecture, system integration across platforms, API enablement, and compliance with agency and federal cybersecurity and information management requirements. The role also supports ATO-related activities with the agency CIO organization, including preparing technical artifacts, supporting remediation, and implementing and maintaining technical controls and vulnerability remediation to secure data environments and ensure ongoing compliance.

Requirements

Bachelor’s degree in data science, bioinformatics, or a related field, or an equivalent combination of education and experience with appropriate technical certifications.
At least 12 years of experience in information technology.
At least 4 years leading or performing data engineering or related functions.
Strong problem decomposition skills and experience manipulating big data.
Experience working in Agile teams and 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 programming languages such as Python, R, and MATLAB.
Thorough understanding of federal data security requirements, especially PII and PHI.
Must be able to obtain a Public Trust clearance.

Responsibilities

Lead data science strategy in support of a custom data platform.
Collaborate with scientists and trainees.
Support a federal healthcare enterprise environment by collaborating with IT operational service areas, including server/storage, network, and application development, to design, develop, and test solutions.
Communicate findings, recommendations, and solutions to technical and non-technical stakeholders.
Design tools to optimize data collection, validation, and analysis.
Support cloud architecture, data interoperability, and security engineering for the SCHARE platform and related data environments.
Support secure cloud configuration, metadata architecture, system integration, API enablement, and compliance with agency and federal requirements.
Support ATO-related activities, including preparation of technical artifacts, remediation support, implementation and maintenance of technical controls, and vulnerability remediation.