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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 ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

QUALIFICATIONS * BS, MS or PhD in Data Science, Analytics, Statistics, Applied Mathematics, or a related field (with a minimum of 3 years of experience preferred). * In depth knowledge and ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

QUALIFICATIONS * BS, MS or PhD in Data Science, Analytics, Statistics, Applied Mathematics, or a related field (with a minimum of 3 years of experience preferred). * In depth knowledge and ...

KHSC

Assistant Professor of Research

Wichita, KS · On-site

PhD in Public Health, Epidemiology, Population Health, Health Services Research, Biostatistics, Statistics, Clinical Research, Community or Global Health, Implementation Science, Biomedical or Health ...

Ascend Learning

Psychometrician

Leawood, KS · On-site +1

PhD or equivalent doctoral degree in educational research, measurement and statistics, or educational psychology is required. Candidates must have completed graduate-level coursework in measurement ...

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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 is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data scientist, quantitative analyst, or actuarial scientist, with salaries exceeding $100,000 annually. Senior positions in finance, technology, or consulting firms tend to offer the highest compensation, especially for those with advanced skills in machine learning, programming, and statistical modeling.

How much can you make with a PhD in statistics?

A PhD in statistics can lead to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries typically 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 getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, academia, and data science roles that require deep analytical skills and expertise in statistical methods. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. The decision depends on career goals and the demand for specialized statistical knowledge in the desired industry.

What can I do with PhD in statistics?

A PhD in statistics qualifies individuals for advanced roles such as data scientist, quantitative analyst, biostatistician, or research scientist. These positions often involve data analysis, modeling, and interpretation using statistical software like R or SAS, and may require collaboration across industries such as healthcare, finance, or technology.
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

Senior/Staff Applied Machine Learning Scientist

StackAdapt

Remote

Other

Re-posted 9 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