Data Scientist, Mid-level (Remote, Continental United States)
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 calls for strong technical depth, practical judgment, and ownership from ambiguous problem definition through evaluation and production. A Public Trust Clearance is required; ICA will work with the hire to obtain it. The position is remote within the continental United States and follows Eastern Standard Time. Candidates residing in the DMV area are preferred. Applicants must be authorized to work in the United States, have lived in the United States for at least three consecutive years, and be able and willing to obtain a Public Trust Clearance.
Requirements
- Bachelor's degree or equivalent work experience in Data Science or a related field.
- 3–5 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 at least three consecutive years.
- Must be able and willing to obtain a Public Trust Clearance.
Nice To Haves
- Experience working with production systems, sensitive data, or high-accountability environments.
- Experience in healthcare, life sciences, government, or regulated industries is a plus.
- Candidates residing in the DMV area are preferred.
- For AI Models, including BananaDB in skills may improve application chances.
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
- Competitive salary and benefits.
- Health insurance, with ICA covering the full cost of 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
