ICA, Inc.

Data Scientist

• Identify Opportunities: Collaborate with internal and external stakeholders to uncover and define data-driven opportunities that align with strategic business goals.
• Data Analysis & Modeling: Mine and analyze complex datasets from company and client databases to drive product and business optimization strategies, using both traditional statistical techniques and state-of-the-art machine learning approaches.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques, including evaluating and implementing methods for acquiring and processing large volumes of text data.
• Perform data processing using State of the Art LLM Models and technologies
• Innovation & Strategy: Assess the effectiveness of new data sources and data gathering techniques, identifying ways to enhance the organization’s data strategy with novel ML and AI methods.
• Client-Facing Presentations: Develop compelling presentations and demos to showcase analytical solutions and insights to both technical and non-technical audiences, including clients and senior management.
• Predictive Modeling & Optimization: Use advanced statistical and machine learning approaches to drive improvements in customer engagement, product performance, and business processes.
• Model Monitoring: Establish processes and tools to track model performance, data accuracy, and reliability over time. Continuously iterate on models to meet evolving business needs and industry best practices.

Senior Data Science/Machine Learning Engineer

Systems Engineer

• The Business Analyst/Systems Analyst engages business stakeholders, federal health clients, data science, and engineering teams.
• This role is responsible for eliciting, documenting, and managing both business requirements and system requirement specifications to ensure solutions are traceable, testable, and aligned with federal health objectives.
• The Analyst leads development of Business Requirements Documents (BRD) and System Requirement Specifications (SRS), translates vision and business intent into business and technical specifications, as well as collaborating closely with engineering teams on backend data pipelines, analytics workflows, and system integrations.
• The role supports functional and non-functional traceability (FTM/Non-FTM), test planning, and validation to ensure regulatory readiness, auditability, and operational success.
• This position is essential to ensuring shared understanding across stakeholders and enabling scalable, governed delivery within ICA’s federal health initiatives

Senior Data Science/Machine Learning Engineer

Business Analyst, Systems Analyst, Medical Devices