Senior Data Scientist

ICA, Inc.

. Design and build machine-learning, analytics, NLP, and generative-AI solutions using structured and unstructured data .

Posted 9/17/2026full-timeRemote • Virginia • United StatesSenior💰 $137,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building machine-learning and NLP solutions, with a strong foundation in Python, SQL, and data analysis. Proven ability to manage complex projects, ensuring data quality and compliance in high-accountability environments.

Highest-signal resume keywords

Machine Learning Solutions DevelopmentNatural Language Processing (NLP)Data Quality and GovernancePython and SQL ProficiencyPublic Trust Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalysisStatisticsDocument ProcessingInformation ExtractionPredictive ModelingExperimentationText AnalyticsWorkflow DevelopmentModel Evaluation

Soft Skills

Analytical JudgmentProblem-SolvingCollaborationOwnershipCommunication

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

HealthcareLife SciencesGovernmentRegulated IndustriesData Governance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and build machine-learning, analytics, NLP, and generative-AI solutions using structured and unstructured data
Develop multi-stage workflows transforming documents and free text into reliable, actionable outputs
Build and evaluate 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 considering provenance, lineage, privacy, reproducibility, data governance, and AI governance
Collaborate with technical teams, domain experts, clients, and leadership to translate complex requirements into defensible 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
Significant hands-on experience delivering data science or machine-learning systems beyond prototypes
Strong Python and SQL skills
Solid foundations in statistics, machine learning, experimentation, and data analysis
Meaningful experience with unstructured data, including document processing, information extraction, NLP, text analytics, or LLM-based workflows
Demonstrated ownership of technically complex projects, including data, architecture, evaluation, failure analysis, and production deployment decisions
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
Public Trust Clearance required; employer will work with the candidate to obtain it
Must be authorized to work in the United States
Must have lived in the United States for 3 or more consecutive years
Experience in healthcare, life sciences, government, regulated industries, or similarly high-accountability environments strongly preferred
Must be able and willing to obtain a Public Trust Clearance
All application materials must be the applicant's own original work; unauthorized AI-generated or AI-assisted content is prohibited during application and interviews

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