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Quantitative Science Jobs in Virginia (NOW HIRING)

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Quantitative Analyst SETA - STO

Arlington, VA · On-site

$150K - $195K/yr

Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field. * 5+ years of relevant experience in quantitative economic modeling, advanced econometrics ...

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Quantitative Science information

What is a quantitative science?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

What are some typical projects or tasks a quantitative science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.

What are the key skills and qualifications needed to thrive in the quantitative science position, and why are they important?

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

What does a quantitative science do?

A professional in quantitative science analyzes numerical data to solve complex problems, often using statistical, mathematical, and computational methods. They work in fields like finance, research, or technology, utilizing tools such as programming languages and data analysis software to develop models and inform decision-making.

What are popular job titles related to Quantitative Science jobs in Virginia?

For Quantitative Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Quantitative Science jobs in Virginia look for?

The top searched job categories for Quantitative Science jobs in Virginia are:

Infographic showing various Quantitative Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Data Scientist, Mid

Reston, VA • On-site

Chopine Analytic Solutions LLC
See more jobs at Chopine Analytic Solutions LLCexternal

Full-time

Posted 12 days ago

Job description

Job Name: Data Scientist, Mid
Location: Reston, VA
Remote Work: No
Required Clearance: TS/SCI with CI Polygraph
Position Type: Immediately Available
Key Responsibilities:
  • Conducts scientific Research and Development towards the tasking, collection, processing, and dissemination of data
  • Collects substantial amounts of data using analytical, statistical, and programmable skills
  • Analyze data sets to discover actionable patterns and trends for business use
  • Uses scientific methods, processes, algorithms, and systems to extract insights from structured and unstructured data
  • Applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights.
  • Assess other's R&D proposals for feasibility and progress towards mission goals
  • Solve difficult, non-routine problems by applying advanced analytical methodologies and improving analytic methodologies
  • Developing custom searches
  • Communicating and coordinating with internal and external partners as needed
  • Other duties as assigned

Qualifications Required:
  • Active TS/SCI with current polygraph
  • Have at least 5 years serving as a Data Scientist
  • Bachelor's degree in engineering or related quantitative science field
  • Experience in developing intelligent algorithms capable of learning, analyzing, and predicting future events, turning those algorithms into AI models and systems, and then testing and maintaining them
  • Ability to use large data sets to research, develop, and generate algorithms that can learn and access, analyze, and organize data, execute tests, and optimize the learning process to help develop high-performance ML models

Qualifications Desired:
  • Master's degree in engineering or related quantitative science field
  • 5 years of IC experience
  • Experience leading teams resulting in successful verification and test strategies/solutions for complex programs
  • Experience with cloud development processes
  • Experience with industry system engineering practices
  • Strong people skills to influence, collaborate and work effectively with all levels of internal and external leadership

Chopine Analytic Solutions is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, any other non-merit factor, or any other characteristic protected by law.

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