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Phd In Statistics Jobs in Kansas (NOW HIRING)

StackAdapt

Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. * Have the ability to take an ambiguously defined task, and break it ...

ProPharma Group

Advanced degree (MS or PhD) from accredited college or university, in statistics or closely related field. Equivalent combination of education, training and experience will be considered. Experience ...

Knowmadics

Data Scientist

Wichita, KS

Graduate-level education (Master'sor PhD) in a quantitative field such as natural sciences, mathematics, statistics, economics, psychology, or a related discipline is preferred. Exceptional ...

Knowmadics

Data Scientist

Wichita, KS · On-site

Graduate-level education (Master's or PhD) in a quantitative field such as natural sciences, mathematics, statistics, economics, psychology, or a related discipline is preferred. Exceptional ...

Propio

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Master's or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field. * Experience with LLM post-training workflows such as SFT ...

Propio

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Master's or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field. * Experience with LLM post-training workflows such as SFT ...

Propio Language Services

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Master's or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field. * Experience with LLM post-training workflows such as SFT ...

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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.
What are popular job titles related to Phd In Statistics jobs in Kansas? For Phd In Statistics jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Phd In Statistics jobs in Kansas look for? The top searched job categories for Phd In Statistics jobs in Kansas are:
Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Kansas as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.

Senior/Staff Applied Machine Learning Scientist

StackAdapt

Remote

Other

Posted 15 days ago

Job description

We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
 
Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/
Learn more about our team culture here: https://www.stackadapt.com/careers/data-science 
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
 
StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or Canada for this position.
What you'll be doing:
  • Lead the creation and optimization of advanced machine learning algorithms-from developing new methods to refining existing techniques-to enhance advertising effectiveness and ROI using deep ML expertise.
  • Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Machine Learning Engineers to deploy and integrate algorithms into live systems.
  • Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights.
What you'll bring to the table:
  • 3+ years of industry experience
  • Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Have a comprehensive understanding of statistics, optimization and machine learning
  • Are proficient in coding, data structures, and algorithms
  • Enjoy working in a friendly, collaborative environment with others

Apply