[Hiring] Director of Data Science & Software Development @ImagineSoftware

Role Description

The Director of Data Science & Software Development will be responsible for the following:

• 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%)

Qualifications

• Bachelor’s degree in computer science, bioengineering, or related field.
• 36 months of experience as a data scientist or related role.

Requirements

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

Company Description