Data Scientist

Analytica

Data Scientist II developing machine learning, generative AI, and analytics solutions for Analytica’s defense health consulting missions. Delivering predictive models, dashboards, and decision-support products for government clients.

Posted 8/6/2026full-timeFalls Church • Texas, Virginia • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning and AI solutions, with strong proficiency in Python and SQL. Capable of collaborating with diverse stakeholders to deliver data-driven insights and analytics while ensuring compliance with security requirements.

Highest-signal resume keywords

Machine Learning Model DevelopmentNatural Language ProcessingData Visualization with Power BIAPI Development and IntegrationAgile Software Development Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLMachine LearningFeature EngineeringStatistical MethodsPredictive ModelingTime-Series AnalysisData PreparationExploratory Data AnalysisETL

Soft Skills

Strong CommunicationProblem-SolvingProactive Status ReportingRisk ManagementIndependent Work

Tools & Technologies

Power BITableauGitCloud-Based AI ServicesDatabricksAWS Services

Certifications & Qualifications

SECRET Security Clearance

Industry Keywords

Healthcare AnalyticsPublic HealthDepartment of DefenseVeteran HealthcareGenerative AI

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Develop and deploy analytics, machine learning, natural language processing, and AI solutions supporting mission and client objectives
Develop and enhance generative AI and RAG components using large language models, embeddings, vector databases, retrieval strategies, prompt engineering, and cloud-based AI services
Evaluate AI-assisted code and analysis, validate sources and assumptions, test outputs, and document material decisions
Perform data acquisition, ETL, exploratory data analysis, data preparation, feature engineering, and validation
Apply statistical methods, predictive modeling, machine learning, and time-series analysis to healthcare, business, and operational challenges
Develop, test, evaluate, deploy, and monitor AI/ML components for accuracy, reliability, scalability, security, and production performance
Develop dashboards, visualizations, and analytic products using Python, Power BI, Tableau, or comparable tools
Partner with clinical, operational, technical, and client stakeholders to gather requirements, define technical approaches, and communicate findings
Develop and troubleshoot APIs, data services, and AI-enabled application components integrated with enterprise systems and cloud platforms
Collaborate through Git, code reviews, Agile ticketing, and established development practices
Produce technical documentation, presentation materials, implementation guidance, and knowledge-transfer artifacts
Contribute to technical research and continuous improvement

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Health Informatics, Public Health, or a related field
2–4 years of experience developing data science, analytics, machine learning, or AI solutions in applied project environments
Strong proficiency in Python and SQL
Experience developing and evaluating machine learning models, including feature engineering, train/validation/test design, performance assessment, and error analysis
Working knowledge of NLP and modern AI concepts, including large language models, embeddings, RAG, prompt engineering, retrieval approaches, and output evaluation
Experience creating dashboards or visual analytics using Power BI, Tableau, Python, or comparable tools
Familiarity with API-based solutions and integrating data, machine learning, or AI services into broader applications or enterprise environments
Experience collaborating in a Git-based team environment using code reviews, Agile tickets, and software development best practices
Ability to work across notebook-based, browser-based, and local development environments
Ability to learn unfamiliar technologies quickly, manage competing priorities, and deliver assigned work independently
Strong communication and problem-solving skills, including proactive status reporting and early escalation of risks and blockers
Must be a U.S. Citizen
Must be able to obtain and maintain a SECRET security clearance
Preferred: experience with Databricks or comparable cloud-based data and AI platforms
Preferred: experience with AWS services, Amazon Bedrock, Amazon Redshift, or related cloud analytics and AI capabilities
Preferred: experience with generative AI applications, RAG, recommendation systems, chatbots, or emerging AI technologies
Preferred: experience implementing automated testing, monitoring, and quality-assurance processes for data science or AI solutions
Preferred: experience supporting Department of Defense, military or veteran healthcare, federal healthcare, or other public-sector clients

Benefits

Comp & perks

Bonus opportunities
Employer-paid healthcare
Professional development funding
401(k) match