IT Architect/Data Scientist (Job 1499)

DHL Holdings Corp; Austin (TX); Remote; USD 180,000 - 190,000; Full time

Benefits offered by this job

PTO

Medical insurance

Dental insurance

Vision insurance

401(k) Retirement Plan

Job summary

DLH Corporation in United States (Remote) seeks an IT Architect/Data Scientist to drive cloud architecture, data interoperability, and security engineering for the SCHARE platform. You will shape data platforms, implement metadata architecture, and ensure regulatory compliance across agency requirements.

The role partners with IT teams and scientists to deliver secure, scalable solutions, lead data science strategy, and advance AI-driven analytics for federal programs.

Qualifications

• Bachelor's degree in data science or related field with extensive IT experience
• Twelve years in information technology with four years leading data engineering functions
• Experience in Agile teams and strong written and verbal communications
• Deep interest in data science, AI, and predictive modeling
• Proficiency in Python, R, and MATLAB; big data manipulation

Responsibilities

• Lead data science strategy for a custom data platform
• Collaborate with scientists and trainees
• Support a federal healthcare enterprise IT by coordinating with server/storage, network, and application teams
• Communicate findings, recommendations, and solutions to both technical and non-technical stakeholders
• Design tools for optimizing data collection, validation, and analysis

Skills

Python

R

MATLAB

Big data

Statistics

Mathematical modeling

Data mining

Agile

Communication

Public Trust

Education

Bachelor's degree in data science or related field

Job description

United States - Remote

Position Title: IT Architect/Data Scientist (Job 1499)

About Us

DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is dedicated to the idea that Your Mission is Our Passion and brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

Overview

This role provides support to our client in cloud architecture, data interoperability, and security engineering support for the SCHARE platform and related data environments. This includes secure cloud configuration, metadata architecture, system integration across platforms, API enablement, and compliance with agency and federal government cybersecurity and information management regulations and requirements. The role also supports ATO-related activities in coordination with the agency CIO organization, including preparation of technical artifacts and remediation support, and implementation and maintenance of technical controls, vulnerability remediation, and securing data environments to ensure ongoing compliance.

Responsibilities

• Lead data science strategy in support of custom data platform
• Collaborate with scientists and trainees
• Support a federal healthcare enterprise environment by collaborating with IT operational service areas (server/storage, network, application development) in the design, development, and testing of solutions
• Communicate findings, recommendations, and solutions to both technical and non-technical stakeholders
• Design tools for optimizing data collection, validation, and analysis

Qualifications

• Bachelors degree in data science, bioinformatics, or a related field or an equivalent combination of education and experience and appropriate technical certifications, with at least twelve (12) years of experience in information technology and (4) years leading or performing data engineering or related functions.
• This position requires strong problem decomposition skills and experience manipulating big data
• Experience working in Agile teams, and demonstrated communication skills both oral and written
• A 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 requirements pertaining to data security, especially PII, and PHI
• Must be able to obtain a Public Trust clearance

Basic Compensation: $180,000 - $190,000 yearly salary

The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law.

Benefits

DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD&D, disability coverage, flexible spending accounts, and more. We want our employees to save for their future; therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions.

#LI-REMOTE

EEO

DLH Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment. DLH will provide reasonable accommodation to individuals with disabilities and disabled Veterans who need assistance to apply.

DLH is committed to maintaining a fair and authentic interview process

Equal employment opportunity, including veterans and individuals with disabilities.

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