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Decision Scientist Two Jobs in Reston, VA (NOW HIRING)

Data Scientist

Falls Church, VA · On-site

$110 - $150/hr

Analytica is seeking a Data Scientist II to support a defense health mission-critical program. The ... and decision-support work within multidisciplinary project teams. The Data Scientist will work ...

Health IT Data Scientist

Alexandria, VA · On-site +1

$110K - $120K/yr

The Health IT Data Scientist II will develop advanced analytical models and predictive solutions that improve operational performance, support strategic planning, and enhance healthcare decision ...

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

Overview VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (Note: position ... decision makers and warfighters. Main responsibilities include a strong understanding of ...

Data Scientist

Springfield, VA · On-site

$92K - $166K/yr

Quantitative PhD. * Deep learning for data science. * 2+ programming languages, 2+ data ... Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

Overview VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (Note: position ... decision makers and warfighters. Main responsibilities of data scientists include a strong ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

Overview VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (Note: position ... decision makers and warfighters. Main responsibilities of data scientists include a strong ...

Showing results 21-40

Decision Scientist Two information

What is the difference between Decision Scientist Two vs Data Analyst?

CriteriaDecision Scientist TwoData Analyst
Required CredentialsAdvanced degree in statistics, data science, or related fieldBachelor's degree in related field often sufficient
Work EnvironmentCollaborates with decision-makers to develop models and strategiesPrepares reports and visualizations for business insights
Employer & Industry UsageUsed in finance, marketing, and tech sectors for strategic decisionsCommon across various industries for reporting and analysis

Decision Scientist Two typically requires advanced degrees and focuses on developing predictive models to inform strategic decisions, whereas Data Analysts often have a bachelor's degree and concentrate on data reporting and visualization. Both roles are vital in data-driven organizations but differ in scope and complexity.

How much do decision scientists make?

Decision scientists typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in data analysis, machine learning, and tools like Python or R may command higher salaries.

What are popular job titles related to Decision Scientist Two jobs in Reston, VA?

For Decision Scientist Two jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Decision Scientist Two jobs in Reston, VA look for?

The top searched job categories for Decision Scientist Two jobs in Reston, VA are:

What cities near Reston, VA are hiring for Decision Scientist Two jobs?

Cities near Reston, VA with the most Decision Scientist Two job openings:

Data Scientist

Analytica

Falls Church, VA • On-site

$110 - $150/hr

Other

Medical, Retirement

Posted 22 days ago


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.

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