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Salary
≈ $145k – $290k per year (Estimated)
Location
Remote (United States)
Seniority
Architect · 3+ years exp

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 26, 2026.

Overview
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Profile match
Streamline your revenue cycle management with innovative solutions designed to optimize billing, collections, profitability. Schedule a demo!

Employer’s Name: Technology Partners, LLC

Position: Director of Data Science & Software Development

Position Duties:

Analyze user requirements, business needs, healthcare data workflows, and product objectives to design, develop, implement, and enhance software applications and machine learning-driven functionality for the RadNav platform. (10%)

Lead the design and development of software architecture, APIs, microservices, technical specifications, and application frameworks to support scalable enterprise software solutions. (10%)

Lead the design, development, evaluation, and deployment of machine learning, artificial intelligence, and natural language processing solutions utilizing statistical modeling, deep learning techniques, and large-scale healthcare datasets. (15%)

Develop, modify, test, review, and maintain application code utilizing Python, JavaScript, React, and related technologies to ensure software quality, performance, and maintainability. (10%)

Design and oversee model training, validation, tuning, benchmarking, and evaluation methodologies to improve machine learning model performance, scalability, and accuracy. (10%)

Design, develop, and optimize database structures, data models, cloud infrastructure, and system integrations utilizing MongoDB, MySQL, AWS, and related technologies. (5%)

Design software solutions to operationalize machine learning functionality within production applications, including model deployment, monitoring, scalability, integration, and continuous improvement of AI-enabled features. (10%)

Develop and maintain scalable data science pipelines, data processing workflows, and MLOps infrastructure to support ingestion, transformation, deployment, monitoring, and lifecycle management of machine learning models. (10%)

Evaluate existing software systems and machine learning solutions; identify technical deficiencies, troubleshoot complex issues, and implement enhancements to improve functionality, reliability, scalability, and user experience. (5%)

Collaborate with software engineers, data scientists, and technical stakeholders to define requirements, develop technical solutions, and support product roadmap initiatives. (3%)

Perform code reviews, establish software development and machine learning engineering standards, and provide technical guidance regarding architecture, testing methodologies, deployment procedures, and development best practices. (3%)

Develop and maintain technical documentation, including software architecture documents, machine learning design specifications, data pipeline documentation, integration requirements, testing procedures, and deployment documentation. (2%)

Research, evaluate, and implement emerging machine learning methodologies, artificial intelligence technologies, software frameworks, and cloud solutions to improve product capabilities and development efficiency. (5%)

Consult with enterprise clients and internal stakeholders to analyze business requirements, identify software and machine learning opportunities, and recommend technical solutions that support organizational objectives. (1%)

Coordinate technical development activities and project implementation efforts to support timely delivery of software releases, machine learning enhancements, and product improvements. (1%)

Education/Experience Requirements: Bachelor’s degree in computer science, bioengineering, or related and 36 months of experience as a data scientist or related

Special Requirements: 3 years prior experience with: (1) Python programming, including machine learning and data processing frameworks, (2) React JS, JavaScript, and Django-based software development, (3) MySQL, MongoDB, and data modeling best practices, (4) AWS cloud services and distributed computing environments, (5) MLOps pipelines, including model versioning, automated deployment, monitoring, and lifecycle management, and (6) software architecture, API design, and microservices-based application development.

May work remotely anywhere in the US.

Location of Employment: 8757 Red Oak Blvd., Charlotte, NC 28217

Email resumes and job history to Kendall Moran, [email protected]

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