Senior 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.

We are looking for a Senior Data Scientist
to join our growing team!

ICA.ai is seeking a Senior 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.

• Design and build machine-learning, analytics, NLP, and generative-AI solutions using structured and unstructured data
• Develop multi-stage workflows that transform complex source data—including documents and free text—into reliable, actionable outputs.
• Build and evaluate downstream data-science solutions such as 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 with appropriate consideration for provenance, lineage, privacy, reproducibility, data governance, and AI governance.
• Work with technical teams, domain experts, clients, and leadership to translate complex requirements into defensible technical solutions.

• Bachelor's Degree, or equivalent work experience in Data Science or related field
• Significant hands-on experience delivering data science or machine-learning systems beyond prototypes.
• Strong Python and SQL skills with solid foundations in statistics, machine learning, experimentation, and data analysis.
• Meaningful experience working with unstructured data, such as document processing, information extraction, NLP, text analytics, or LLM-based workflows.
• Demonstrated ownership of technically complex projects, including decisions around data, architecture, evaluation, failure analysis, and production deployment.
• Ability to understand how upstream data quality and extraction errors affect downstream models and decisions.
• Strong analytical judgment and willingness to challenge assumptions when results do not support them.
• Experience in healthcare, life sciences, government, regulated industries, or similarly high-accountability environments is strongly preferred.
• 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

All application materials…