Remote IT Architect & Data Scientist — Cloud & AI

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

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.