IT Architect, Data Scientist

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $180k - $190k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Logo of DLH Corporation

DLH Corporation

1001 - 5000 employees

Founded 1997

🏥 Healthcare

💼 Consulting

🎖️ Defense

Healthcare • Consulting • Defense

DLH Corporation is a company that addresses health and national security challenges through digital transformation, science research and development, and systems engineering. It offers solutions for federal programs by leveraging expertise in public health, performance evaluation, artificial intelligence, advanced analytics, cloud-based applications, and telehealth systems. DLH is committed to responsible citizenship and community service through its DLH Cares initiative. Additionally, DLH provides critical systems engineering and services for military systems and promotes workplace excellence, as evidenced by its Great Place To Work® Certification.

📋 Description

• 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

• 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

• 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

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