1

Phd In Statistics Jobs in Austin, TX (NOW HIRING)

... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...

... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...

... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...

... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...

Minimum Qualifications Master's degree in Statistics, Economics, Mathematics, Machine Learning ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

Apply your observation skills and modern statistical methods to identify and build predictive ... PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant ...

... Strong proficiency in statistical analysis (e.g., regression, ANOVA) Proficiency with data ... PhD.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field ...

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

... statistical concepts to non-experts. Ability to manage multiple projects simultaneously in a fast-paced environment. Preferred Qualifications MS or PhD in Reliability Engineering, Systems Engineering ...

next page

Showing results 1-20

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.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, 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 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, statisticians, quantitative analysts, or research scientists, 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.

What are popular job titles related to Phd In Statistics jobs in Austin, TX?

For Phd In Statistics jobs in Austin, TX, the most frequently searched job titles are:

Infographic showing various Phd In Statistics job openings in Austin, TX as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.