Data Scientist

Analytica; Falls Church, San Antonio (VA, TX); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

competitive compensation

bonus opportunities

employer-paid healthcare

professional development funding

401(k) match

Job summary

Analytica is seeking a Data Scientist II to support a defense health mission-critical program. The role involves developing analytics, ML, and AI solutions, and working with clients in a consulting and delivery capacity to address complex challenges. The candidate will analyze complex data, build predictive/prescriptive analytics, and deliver actionable insights to support data-driven decision-making.

U.S. citizenship with SECRET clearance or the ability to obtain is required; hybrid in Falls

Qualifications

• Bachelor's degree in a related field; master's preferred
• 2–4 years of experience developing data science/AI solutions in applied projects
• Strong proficiency in Python and SQL for data prep, analytics, model development, testing, deployment
• Experience building and evaluating ML models, including feature engineering and evaluation
• Familiarity with NLP and modern AI concepts (LLMs, embeddings, RAG, prompt engineering)
• Experience creating dashboards/visual analytics using Power BI/Tableau/Python
• Experience integrating data science/AI services into enterprise environments
• Ability to work across notebook/browser/local environments and manage competing priorities
• Strong communication and problem-solving skills; able to work with technical and non-technical audiences
• U.S. Citizen and ability to obtain/maintain SECRET clearance

Responsibilities

• Develop and deploy analytics, ML/AI solutions for mission objectives
• Develop and enhance generative AI components using LLMs, embeddings, vector DBs, retrieval strategies
• Critically evaluate generated code and analysis; test outputs and document decisions
• Perform data acquisition, ETL, EDA, feature engineering, validation using Python/SQL
• Apply statistical methods and time-series analysis to healthcare/business challenges
• Develop, test, deploy, and monitor AI/ML solution components for production readiness
• Develop dashboards/visualizations using Python/Power BI/Tableau when required
• Collaborate with stakeholders to gather requirements and communicate findings
• Develop and troubleshoot APIs and data services; integrate with cloud platforms
• Follow Git-based workflows; break work into tasks and track progress
• Produce technical documentation and knowledge-transfer artifacts

Skills

Python

SQL

Machine learning

NLP

Generative AI

RAG

Data visualization

Communication

Education

Bachelor's degree in Computer Science/Data Science/Statistics/Mathematics/Engineering/Public Health

Master's degree preferred

Tools

Databricks

AWS

Power BI

Tableau

Git

Job description

Analytica is seeking a Data Scientist II to support a defense health mission-critical program. The ideal candidate will be comfortable working directly with clients in a consulting and delivery capacity to develop innovative analytics, machine learning, and AI solutions that address complex business and operational challenges. This role will independently develop and deliver data science and AI solution components while owning assigned analytics, data processing, model development, visualization, and decision-support work within multidisciplinary project teams.

The Data Scientist will work across project workstreams to analyze complex data, develop predictive and prescriptive analytic solutions, and deliver actionable insights that support data-driven decision-making. The candidate must be a U.S. Citizen with a SECRET clearance or the ability to obtain and maintain one. This role may be hybrid in Falls Church, Virginia, or San Antonio, Texas, or potentially remote, with periodic travel as required.

Analytica has been recognized as one of the fastest-growing private U.S. businesses and supports government customers across health, civilian, and national security missions.

• competitive compensation
• bonus opportunities
• employer-paid healthcare
• professional development funding
• a 401(k) match

Responsibilities

• Develop and deploy analytics, machine learning, natural language processing, and AI solutions that advance mission and client objectives.
• Develop and enhance generative AI and RAG solution components using large language models, embeddings, vector databases, retrieval strategies, prompt engineering techniques, and cloud-based AI services.
• Use AI-assisted development tools responsibly by critically evaluating generated code and analysis, validating sources and assumptions, testing outputs, and documenting material decisions.
• Perform data acquisition, ETL, exploratory data analysis, data preparation, feature engineering, and validation using Python, SQL, and related technologies.
• 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 solution components to support accuracy, reliability, scalability, security, and production performance.
• Develop dashboards, visualizations, and analytic products using Python, Power BI, Tableau, or comparable tools when required by the solution.
• Partner with clinical, operational, technical, and client stakeholders to gather requirements, translate needs into technical approaches, and communicate findings and recommendations.
• Develop and troubleshoot APIs, data services, and AI-enabled application components while supporting integration with enterprise systems and cloud platforms.
• Collaborate through Git, code reviews, Agile ticketing, and established development practices; break work into deliverable tasks, communicate progress and dependencies, surface blockers early, and coordinate assistance when needed.
• Produce technical documentation, presentation materials, implementation guidance, and knowledge-transfer artifacts, and contribute to technical research and continuous improvement.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Health Informatics, Public Health, or a related field; master's degree preferred.
• Two to four years of experience developing data science, analytics, machine learning, or AI solutions in applied project environments.
• Strong proficiency in Python and SQL for data preparation, analytics, model development, testing, and deployment.
• 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 integration of 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, learn unfamiliar technologies quickly, manage competing priorities, and deliver assigned work independently.
• Strong communication and problem-solving skills, including proactive status reporting, early escalation of risks and blockers, and effective communication with technical and non-technical audiences.
• Must be a U.S. Citizen and able to obtain and maintain a SECRET security clearance.

Preferred Qualifications

• Experience supporting themilitary or veteran healthcare system highly preferred
• Experience with Databricks or a comparable cloud-based data and AI platform.
• Experience with AWS services, Amazon Bedrock, Amazon Redshift, or related cloud analytics and AI capabilities.
• Experience with generative AI applications, RAG, recommendation systems, chatbots, or emerging AI technologies.
• Experience implementing automated testing, monitoring, and quality-assurance processes for data science or AI solutions

AboutAnalytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certifiedsmall business that hasbeen recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growingcompanies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The companyis appraised by the Software Engineering Institute (SEI) atCMMI® Maturity Level 3and is anISO 9001:2008 certifiedprovider.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

• Application Review: AI tools may help identify skills and experiences relevant to the role.
• Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.