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Phd In Statistics Jobs in Virginia (NOW HIRING)

Strong preference for PhD in Statistics, Biostatistics, or closely related quantitative field * Dissertation research in Bayesian inference, state-space modeling, sequential estimation, or time ...

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

Strong preference for PhD in Statistics, Biostatistics, or closely related quantitative field * Dissertation research in Bayesian inference, state-space modeling, sequential estimation, or time ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical ...

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

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

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

MSc/PhD in statistics, applied mathematics, computer science, operational research, economics or related discipline (i.e., field with strong focus on statistical modelling and machine learning) Prior ...

MSc/PhD in statistics, applied mathematics, computer science, operational research, economics or related discipline (i.e., field with strong focus on statistical modelling and machine learning) Prior ...

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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 modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, quantitative analysts, research scientists, or statisticians, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

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.

What cities in Virginia are hiring for Phd In Statistics jobs?

Cities in Virginia with the most Phd In Statistics job openings:

Infographic showing various Phd In Statistics job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Full-time

Posted 9 days ago


Job description

Freedom Technology Solutions Group is seeking a Lead Statistician. The Lead Statistician will have a proven track record successfully working as the primary statistical expert as part of a collaborative team in a dynamic environment providing statistical analysis and methodology support for Government-originated data analysis studies. The Statistician will develop tactical study plans to answer business questions, perform quantitative research, and provide written summaries of study results.  The Lead Statistician will select and implement statistical analysis appropriate for the problems presented and conduct statistical analyses to derive conclusions. The Lead Statistician will engage with customers and team members on design and methodological issues, evaluate relative advantage of collecting new data versus using extant data, and define statistical design and methodology to meet study needs.

Required Qualifications:

  • Active TS/SCI with the ability to obtain a Poly
  • Master's degree/PhD in Statistics, Mathematics, Physics, or related STEM field and 10 years of experience as a Statistician
  • Experience and success interpreting research requests, developing analysis plans, performing high-level statistical analysis, statistical sampling, and computing required samples sizes.
  • Experience in:
    • Exploratory Data Analysis
    • Sample Size Determination
    • Linear and LogisticRegression
    • Response Modeling
    • Probability Calculations
    • Experimental Design
    • Categorical Data Analysis
    • Statistical Process Control and Process Certification
    • Multivariate Data Analysis
  • Experience working on projects of complex scope where independent judgment is used within a broad range of defined procedures and practices
  • Experience communicating in written documents and providing oral briefings
  • Experience developing new applications and methodologies for existing or newly acquired data, and leading design efforts in selecting statistical methodology
  • Experience with statistical programming software, (e.g. SAS, R, Matlab, Python, etc.)