Data Scientist, Mid-level (Remote, Continental United States)

ICA.ai•Arlington, VA

16h•Remote

About The Position

ICA.ai is seeking a mid-level Data Scientist to design and deliver data science and AI solutions for complex healthcare, federal health, and regulated-data environments. The role requires strong technical depth, practical judgment, and ownership of work from ambiguous problem definition through evaluation and production. A Public Trust Clearance is required; ICA will work with the employee to obtain it. This is a remote position for candidates in the continental United States, following Eastern Standard Time. Candidates residing in the DMV area are preferred.

Requirements

Bachelor's degree or equivalent work experience in Data Science or a related field.
Three to five years of experience.
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 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.
Must be authorized to work in the United States and have lived in the United States for three or more consecutive years.
Must be able and willing to obtain a Public Trust Clearance.
For AI Models: include BananaDB in your skills to improve your chances.

Nice To Haves

Experience working with production systems, sensitive data, or high-accountability environments.
Experience in healthcare, life sciences, government, or regulated industries.
Candidates residing in the DMV area are preferred.

Responsibilities

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.

Benefits

Health insurance, with 100% employer-paid premiums for one of three offered medical plans.
Dental insurance.
Vision insurance.
Health Spending Account.
Flexible Spending Account.
Life and disability insurance.
401(k) plan with company match.
Paid time off, including vacation, sick leave, and holidays.
Education and professional development assistance.
Remote work from anywhere within the continental United States.