ICA, Inc.

QA Engineer

• Elicit, document, and manage business and functional requirements from stakeholders
• Translate requirements into user stories, acceptance criteria, and process flows
• Maintain requirement traceability from business need through to test coverage
• Facilitate requirement walkthroughs and sign-offs with stakeholders and development teams
• Own QA strategy for assigned products and features from planning through release
• Design and document test plans, test cases, and test scripts based on requirements
• Lead manual and automated testing across functional, regression, integration, and UAT cycles
• Track and report defects, drive triage, and ensure timely resolution with development teams
• Define and monitor quality metrics including defect density, test coverage, and escape rate
• Act as quality gatekeeper for release readiness
• Build and maintain automated UI, API, and/or regression test scripts
• Identify high-value automation candidates and expand automation coverage
• Integrate automated tests into CI/CD pipelines where applicable
• Evaluate and recommend automation tools and frameworks
• Participate in Agile/Scrum sprint ceremonies including standups, planning, backlog grooming, retrospectives, and reviews
• Write and refine user stories and acceptance criteria in the backlog
• Manage and maintain JIRA boards, including epics, stories, sprints, workflows, and reporting
• Collaborate with Product Owners, Developers, and stakeholders to align scope, timelines, and quality

Business Analyst, QA Lead

Manager

• Coordinate all tasks and activities across the multi-disciplinary study team
• Maintain the project plan, schedule, and risk register
• Identify and escalate project risks and issues before they affect timelines or deliverables
• Create meeting agendas, facilitate meetings, and take complete and accurate minutes
• Record action items and decisions, and track tasks to completion
• Maintain a running log of open items and follow up proactively with owners
• Ensure all project deliverables, including subcontractor deliverables, meet contractual and quality requirements and are submitted on time
• Track deliverable status against the project schedule and flag risks to timely submission
• Support internal quality review and version control of deliverables prior to submission
• Support establishment of NDAs, teaming agreements, and subcontracts with partner organizations and subject-matter experts
• Track subcontractor performance against their Statement of Work (SOW) and escalate performance concerns
• Serve as a day-to-day point of contact for subcontractors and SMEs on administrative and scheduling matters
• Maintain organized, current project files and documentation (SharePoint, shared drives, or equivalent)
• Ensure timely, professional responses to clients, collaborators, and partners
• Draft and edit written communications, status updates, and summaries for both technical and non-technical audiences

Public Health Research Manager

Data Scientist

• Design and build machine-learning, analytics, NLP, and generative-AI solutions using structured and unstructured data
• Develop multi-stage workflows transforming documents and free text into reliable, actionable outputs
• Build and evaluate predictive models, prioritization, classification, analytics, and decision-support workflows
• Establish rigorous approaches to data quality, experimentation, model evaluation, validation, monitoring, and human review
• Diagnose weak-performing approaches, identify root causes, and redesign or abandon solutions when evidence does not support deployment
• Design solutions considering provenance, lineage, privacy, reproducibility, data governance, and AI governance
• Collaborate with technical teams, domain experts, clients, and leadership to translate complex requirements into defensible technical solutions
• Take ownership from ambiguous problem definition through evaluation and production

Senior Data Scientist

• Build machine-learning, analytics, NLP, and generative-AI solutions using structured and unstructured data
• Develop and improve workflows that transform documents, free text, and other complex source data into reliable structured outputs
• Build classification, prediction, prioritization, analytics, and decision-support workflows
• Perform data preparation, feature development, experimentation, model evaluation, error analysis, and validation
• Investigate model and data-quality issues and iterate on approaches when results do not meet expectations
• Contribute to production workflows, monitoring, human-review processes, and reproducible data-science practices
• Work with senior technical staff, domain experts, and stakeholders to translate requirements into practical technical solutions

Machine Learning Engineer

• Architect large-scale data and document-processing platforms, from ingestion through downstream consumption
• Design robust patterns for document parsing, extraction, normalization, validation, storage, search, human review, and reprocessing
• Establish standards for schemas, metadata, lineage, provenance, data quality, reproducibility, and auditability
• Design reliable ingestion and transformation pipelines using APIs, files, batch processing, and streaming where appropriate
• Create platform patterns that enable Data Science and AI prototypes to become secure, maintainable production solutions
• Architect data and retrieval foundations supporting RAG, analytics, AI workflows, evaluation, and feedback loops
• Make architecture decisions involving scalability, reliability, security, privacy, cost, and operational complexity
• Lead technical design reviews, investigate production failures, mentor engineers, and work across Data Engineering, Data Science, DevOps/MLOps, Product, Security, and client teams
• Review and develop Python, SQL, schemas, APIs, and production data pipelines

Business Analyst, QA Lead

Public Health Research Manager

Senior Data Scientist

Data Scientist

Principal Data & ML Ops Architect