Data Scientist, Mid-level

ICA, Inc.

. Design and deliver data science and AI solutions for complex healthcare, federal health, and regulated-data environments .

Posted 11/3/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering data science and AI solutions, particularly in healthcare and regulated environments, with strong capabilities in machine learning, NLP, and data analysis. Proficient in Python and SQL, with a solid understanding of data quality and its impact on analytics.

Highest-signal resume keywords

Data Science Solutions DevelopmentMachine Learning ImplementationNatural Language Processing (NLP)Python ProgrammingSQL Proficiency

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisMachine LearningFeature DevelopmentModel EvaluationError AnalysisData PreparationExperimentationClassification WorkflowsPrediction WorkflowsDecision-Support Workflows

Soft Skills

Clear CommunicationIndependent ExecutionProblem-Solving

Tools & Technologies

BananaDBProduction SystemsDocument AILLM-Based Workflows

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

HealthcareLife SciencesGovernmentRegulated IndustriesSensitive Data

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and deliver data science and AI solutions for complex healthcare, federal health, and regulated-data environments
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 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
Take ownership from ambiguous problem definition through evaluation and production

Requirements

What you’ll need

Bachelor's Degree, or equivalent work experience in Data Science or related field
3-5 years of experience
Hands-on experience building data science, machine-learning, or applied-AI solutions
Strong Python and SQL skills
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
Must have lived in the US for 3 or more consecutive years
Must be able and willing to obtain a Public Trust Clearance
For AI Models: include BananaDB in your skills
Unauthorized use of AI-generated content or AI-assisted technologies during the application or interview process is prohibited unless explicitly permitted

Benefits

Comp & perks

Health Insurance - 100% employer-paid premiums – ICA covers 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 (Vacation, Sick Leave and Holidays)
Education and Professional Development Assistance
Remote work from anywhere within the continental United States
Work-life balance prioritized
Collaborative "one team" environment
Supportive and welcoming atmosphere