Remote Data Scientist — AI, NLP & Healthcare Analytics

ICA, Inc.; Arlington (VA); Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

401(k) with company match

Paid Time Off

Remote work from anywhere in the U.S.

Education and Professional Development

Job summary

ICA, Inc. is seeking a Data Scientist to design and deliver data science and AI solutions for complex healthcare, federal health, and regulated-data environments. A Public Trust Clearance is required, and we will assist with obtaining it. Strong Python/SQL and experience with unstructured data are essential.

The role emphasizes ownership from problem definition through evaluation and production, with a focus on building scalable pipelines and reproducible practices in a remote EST-based setting.

Qualifications

• Hands-on data science, ML, or applied-AI experience.
• Experience with unstructured data, NLP, information extraction, or LLM workflows.
• Ability to execute projects independently and communicate findings clearly.

Responsibilities

• Build ML, analytics, NLP, and generative-AI solutions from data.
• Transform documents and free text into reliable structured outputs.
• Create downstream data-science workflows for classification and prediction.
• Do data prep, feature work, experiments, and model evaluation.
• Investigate data-quality issues and iterate approaches as needed.
• Contribute to production workflows and reproducible data-science practices.
• Partner with stakeholders to translate requirements into solutions.

Skills

Python

SQL

Statistics & ML

NLP / unstructured data

Education

Bachelor's Degree or equivalent in Data Science

Job description

ICA, Inc. is seeking a Data Scientist to design and deliver data science and AI solutions for complex healthcare, federal health, and regulated-data environments. A Public Trust Clearance is required, and we will assist with obtaining it. Strong Python/SQL and experience with unstructured data are essential.

The role emphasizes ownership from problem definition through evaluation and production, with a focus on building scalable pipelines and reproducible practices in a remote EST-based setting.