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Statistical Data Scientist Jobs in Reston, VA (NOW HIRING)

Cmu

Data Scientist

Arlington, VA

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

Nalley Consulting

Data Scientist - Mid

Washington, DC · On-site

Required Qualifications: * 3+ years of experience in data science/engineering/analytics, statistics, computer science, or related fields * Possession of excellent verbal and written communication ...

Nalley Consulting

Data Scientist - Mid

Washington, DC · On-site

Required Qualifications: * 3+ years of experience in data science/engineering/analytics, statistics, computer science, or related fields * Possession of excellent verbal and written communication ...

Booz Allen Hamilton

Mid Data Scientist

Washington, DC · On-site

$77K - $176K/yr

You Have: * 3+ years of experience in statistics, data science, engineering, analytics, or computer science fields * Experience collaborating in teams * Experience supporting DoW or IC clients

Booz Allen Hamilton

Data Scientist, Mid

Washington, DC

$77K - $176K/yr

You Have: * 3+ years of experience in statistics, data science, engineering, analytics, or computer science fields * Experience collaborating in teams * Experience supporting DoW or IC clients

Booz Allen Hamilton

Mid Data Scientist

Washington, DC · On-site

$77K - $176K/yr

Bachelor's degree in Statistics, Data Science, Computer Science or So cia l Science, or 4+ years of experience in statistics, data science, computer science and so cia l science in lieu of a degree ...

Booz Allen Hamilton

Data Scientist, Mid

Washington, DC

$77K - $176K/yr

Bachelor's degreein Statistics, Data Science, Computer Science or Social Science, or 4+ years of experience in statistics, data science, computer science and social science in lieu of a degree Nice ...

GRVTY

Data Scientist

Chantilly, VA

This role requires applying advanced analytics, statistical modeling, and machine learning techniques to identify, analyze, and cyber related data. The Data Scientist will be working closely with ...

MANTECH

Data Scientist

Chantilly, VA · On-site

ManTech seeks a motivated, career and customer-oriented Data Scientist to join our team in ... Applied mathematics (e.g., probability and statistics, formal modeling, computational social ...

MANTECH

Data Scientist

Chantilly, VA · On-site

ManTech seeks a motivated, career and customer-oriented Data Scientist to join our team in ... Applied mathematics (e.g., probability and statistics, formal modeling, computational social ...

MANTECH

Data Scientist

Chantilly, VA

ManTech seeks a motivated, career and customer-oriented Data Scientist to join our team in ... Applied mathematics (e.g., probability and statistics, formal modeling, computational social ...

VTG

Data Scientist

Chantilly, VA

$105K - $215K/yr

Data Scientist I supports government and program teams by assisting with data analysis ... Develop and apply statistical models or machine learning techniques as appropriate * Design and ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Data Scientist I supports government and program teams by assisting with data analysis ... Develop and apply statistical models or machine learning techniques as appropriate * Design and ...

VTG

Data Scientist

Chantilly, VA

The ideal candidate will have strong expertise in statistical analysis, machine learning, and data ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

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All JobsStatistical Data Scientist JobsStatistical Data Scientist Jobs in Reston, VA

Statistical Data Scientist information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do statistical data scientist jobs pay per year?

As of Jul 29, 2026, the average yearly pay for statistical data scientist in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

How does a Statistical Data Scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

What are the key skills and qualifications needed to thrive as a Statistical Data Scientist, and why are they important?

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

What does a Statistical Data Scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

What is the difference between Statistical Data Scientist vs Data Analyst?

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

What are popular job titles related to Statistical Data Scientist jobs in Reston, VA? For Statistical Data Scientist jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Statistical Data Scientist jobs in Reston, VA look for? The top searched job categories for Statistical Data Scientist jobs in Reston, VA are:
What cities near Reston, VA are hiring for Statistical Data Scientist jobs? Cities near Reston, VA with the most Statistical Data Scientist job openings:
Statistical Data Scientist jobs near you
Data Scientist

Data Scientist

Carnegie Mellon University

Arlington, VA • On-site

Full-time

Posted 21 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 612 rated colleges and universities

Job description

Job Summary:
Carnegie Mellon University is a leading institution focused on innovation and research. They are seeking a Data Scientist to leverage advanced statistics, data analytics, machine learning, and artificial intelligence to address cybersecurity challenges for government and industry clients.
Responsibilities:
• Work with customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products.
• Co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
• Work on a wide range of projects including research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems.
• Craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities.
Qualifications:
Required:
• BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
• Willingness to complete modest travel to various locations to support the SEI’s overall mission.
• You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.
• Experience in predictive modeling, data science, and/or AI & machine learning
• Deep understanding of statistical modeling techniques and advanced data analytics
• Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
• Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
• Strong communication skills
• Expertise in one or more of the following: Recommendation systems, Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.), NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering), Causal inference / uplift modeling / synthetic controls, Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow), LLMs / agentic workflows (LangChain/LlamaIndex/Haystack), Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar), Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)
Preferred:
• Experience in cybersecurity and privacy is a plus
• Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
• Demonstrated ability to learn new concepts and grow into new areas of work
Company:
Carnegie Mellon University is a research university offering programs and research across engineering, science, arts, and business. Founded in 1900, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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