Data Scientist; Remote, Continental

About ICA, Inc.

ICA, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!

We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas:
Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS.

At ICA, we believe our success starts with our people. We foster a collaborative  one team  environment where work-life balance isn't just talked about – it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.

ICA.ai is seeking a Data Scientist to design and deliver data science and AI solutions for complex healthcare, federal health, and regulated-data environments. This role requires strong technical depth, practical judgment, and the ability to take ownership from ambiguous problem definition through evaluation and production. A Public Trust Clearance is required for the role, and we will work with you to obtain this.

• 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 downstream data-science solutions such as 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.

• Bachelor's Degree, or equivalent work experience in Data Science or related field
• Hands-on experience building data science, machine-learning, or applied-AI solutions.
• Strong Python and SQL skills with solid foundations in statistics, machine learning, experimentation, and data analysis.
• Experience working with unstructured data such as documents, free text, NLP, information extraction, document AI, or LLM-based workflows.
• Ability to independently execute defined projects, evaluate results, troubleshoot failures, and communicate findings clearly.
• Understanding of how data quality and extraction errors can affect downstream models and analytics.
• Experience working with production systems, sensitive data, or high-accountability environments is preferred.
• Experience in healthcare, life sciences, government, or regulated industries is a plus.
• Must be authorized to work in the United States and have lived in the US for 3 or more consecutive years.
• Must be able and willing to obtain a Public Trust Clearance

UNAUTHORIZED USE OF AI ASSISTIVE TECHNOLOGY: All application materials must be your own original work, and interviews must be completed independently. The use of AI-generated content or AI-assisted technologies during the application or interview process is prohibited unless interviewers provide explicit permission for specific activities during a live technical…