Director of Data Science & Software Development

Imagineteam; Charlotte (NC); A distancia; USD 167.000 - 204.000; Jornada completa

Descripción de la vacante

Technology Partners, LLC is seeking a Director of Data Science & Software Development in Charlotte to lead ML/AI initiatives and scalable software platforms for healthcare analytics.

You will design architecture, APIs, and data pipelines, while guiding a team of data scientists and engineers. Proficiency in Python, React, and cloud services is required; remote work across the US may be possible.

Formación

• Bachelor’s degree in computer science, bioengineering, or related field.
• 3 years of experience as a data scientist or related role.
• Proficiency in Python, React JS, JavaScript, and Django-based software development.

Responsabilidades

• Analyze user requirements, business needs, and healthcare data workflows to design and implement software and ML-driven features.
• Lead architecture, APIs, microservices, and frameworks for scalable enterprise solutions.
• Develop, test, and maintain code in Python, JavaScript, and React; ensure quality and performance.

Conocimientos

Python

JavaScript

React

Machine learning

APIs & microservices

MLOps

Data processing

Educación

Bachelor’s degree in computer science or related

Herramientas

MongoDB

MySQL

AWS

Descripción del empleo

Director of Data Science & Software Development# Director of Data Science & Software Development## OverviewSalary Range$185,000.00 Salary/year## DescriptionEmployer’s Name: Technology Partners, LLCPosition: Director of Data Science & Software DevelopmentPosition 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 relatedSpecial 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 28217Email resumes and job history to Kendall Moran, [e-mail]