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Phd In Statistics Jobs in Washington (NOW HIRING)

Castellum, Inc.

Be Seen First

Senior Data Scientist

Washington, DC · On-site

$155K - $165K/yr

Minimum Qualifications include: • 5-7 years of experience manipulating data sets and building statistical models. • Master's or PHD in Statistics, Mathematics, Computer Science, or another ...

Elder Research

Data Scientist

Arlington, VA · On-site

Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling ...

Elder Research

Data Scientist

Arlington, VA

Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling ...

Elder Research

Data Scientist

Arlington, VA

Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling ...

Geico

Research and Development Analyst

Bethesda, MD · On-site

$75K - $160K/yr

R&D Analyst III: * PhD degree in Statistics, Mathematics, Data Science, Economics, Operation Research or related quantitative and analytics fields. * In lieu of PhD degree:Master's degree in ...

Thinkbrg

Consultant - HEOR/Epidemiology

Washington, DC

$130K - $190K/yr

... statistical analysis-preferably with experience in advanced causal inference methods; ensuring ... PhD in Epidemiology, Biostatistics, Health Science, or other data science related disciplines is ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and consulting across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical modeling, programming, and data management. The degree also enables careers in academia and research institutions, often requiring proficiency in tools like R, Python, or SAS.

How much can you make with a PhD in statistics?

A PhD in statistics typically leads to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries often ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling, but it does not replace the need for expert statistical judgment, interpretation, and domain knowledge. Statisticians are increasingly using AI tools and programming languages like R or Python to enhance their work, making their skills still essential in designing studies and ensuring data quality.
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Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Washington as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.
Data Scientist with Security Clearance

Data Scientist with Security Clearance

VTG

Chantilly, VA

Other

Posted 11 days ago

Job description

Overview We are seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights. What will you do?

Analyze large, complex datasets to identify trends, patterns, and actionable insights Develop, train, and validate machine learning and statistical models Design and implement experiments, including A/B testing and predictive analytics Collaborate with data engineers and analysts to ensure data quality and accessibility Communicate findings and recommendations to technical and non-technical stakeholders Build data visualizations and dashboards to present insights effectively Deploy and monitor machine learning models in production environments Continuously improve model performance and accuracy Stay current with emerging data science techniques, tools, and technologies Do you have what it takes? Active TS/SCI with Polygraph required. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) 5+ years of experience in data science or a related field Strong proficiency in programming languages such as Python or R Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) Strong foundation in statistics, probability, and data analysis techniques Experience with SQL and working with large datasets Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) Familiarity with cloud platforms (AWS, Azure, or GCP)

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