Data Scientist

Analytica; Maryland; Hybrid; USD 110,000 - 165,000; Full time

Benefits offered by this job

Bonus opportunities

Employer-paid healthcare

Professional development funding

401(k) match

Competitive compensation

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 delivering data-driven insights within multidisciplinary teams.

The candidate will work across project workstreams to analyze complex data, build predictive/prescriptive models, and deliver actionable insights while maintaining client communications. U.S.

Qualifications

• Bachelor's degree in a related field; master's preferred.
• 2–4 years of experience in data science, analytics, ML, or AI in applied projects.
• Strong Python and SQL skills for data prep, analytics, model development, testing, and deployment.
• Experience building and evaluating ML models with feature engineering, design, and evaluation.
• Familiarity with NLP, large language models, embeddings, RAG, and prompt engineering.
• Experience creating dashboards or visual analytics with Power BI/Tableau/Python.
• Experience integrating data/ML services into enterprise environments using APIs.
• Experience working in a Git-based team, agile processes, and code reviews.
• Strong communication and problem-solving skills; clear status reporting.

Responsibilities

• Develop and deploy analytics, ML, NLP, and AI solutions to advance client objectives.
• Develop and enhance generative AI components using LLMs, embeddings, vector DBs, and cloud AI services.
• Critically evaluate generated code and analyses, validate sources, test outputs, document decisions.
• Perform data acquisition, ETL, EDA, feature engineering, and validation with Python/SQL.
• Apply statistical methods, predictive modeling, ML, and time-series to healthcare, business, and operations.
• Develop, test, deploy, and monitor AI/ML components for reliability, scalability, and security.
• Create dashboards and visual analytics using Power BI/Tableau/Python as needed.
• Collaborate with stakeholders to gather requirements and translate them into technical solutions.
• Develop and troubleshoot APIs and data services; integrate with enterprise systems and cloud platforms.
• Contribute to Git workflows, Agile tickets, and team development practices.
• Produce documentation, presentations, and knowledge-transfer materials; contribute to research.

Skills

Python

SQL

NLP

ML

AI

Data Visualization

Time-series

APIs

Git

Agile

Communication

Education

Bachelor's degree

Master's degree preferred

Tools

Power BI

Tableau

Databricks

AWS Bedrock

Redshift

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 an active 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.

• Analytica offers competitive compensation, bonus opportunities, employer-paid healthcare, professional development funding, and 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.
• 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 the military 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

About Analytica:

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 certified small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

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.