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Phd In Statistics Jobs in Ohio (NOW HIRING)

Nationwide Children's Hospital

PhD in Bioinformatics, Computational Biology, Computer Science, Biology, Genetics, or related field ... Experience in mathematics, statistics, and computer science, preferred. Physical Requirements:

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Analyze data using data science and/or statistical methods * Collaborate with subject matter ... MS or PhD in Aministrative related field from an accredited college or university. Qualifications ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Analyze data using data science and/or statistical methods * Collaborate with subject matter ... MS or PhD in Aministrative related field from an accredited college or university. Additional ...

J.P. Morgan

Quant Analytics Manager

Columbus, OH

PhD/Master or equivalent in Statistics, Mathematics, Computer Science, Data Science, Social Science, or relevant fields ABOUT US Chase is a leading financial services firm, helping nearly half of ...

JPMorgan Chase & Co.

Quant Analytics Manager

Columbus, OH · On-site

$109K - $175K/yr

PhD/Master or equivalent in Statistics, Mathematics, Computer Science, Data Science, Social Science, or relevant fields About Us Chase is a leading financial services firm, helping nearly half of ...

SierTeK Ltd.

Epidemiologist

Dayton, OH · On-site

MPH, MS, or PhD in Epidemiology, Statistics, Data Science, Bioinformatics, or a related field approved by USAFSAM/FES. * Minimum of five (5) years of experience applying statistical methods in public ...

New

SierTeK Ltd.

Epidemiologist

Dayton, OH · On-site

MPH, MS, or PhD in Epidemiology, Statistics, Data Science, Bioinformatics, or a related field approved by USAFSAM/FES. * Minimum of five (5) years of experience applying statistical methods in public ...

New

SIERTEK

Epidemiologist

Dayton, OH

MPH, MS, or PhD in Epidemiology, Statistics, Data Science, Bioinformatics, or a related field approved by USAFSAM/FES. * Minimum of five (5) years of experience applying statistical methods in public ...

New

SIERTEK LTD

Epidemiologist (25.38)

Dayton, OH

MPH, MS, or PhD in Epidemiology, Statistics, Data Science, Bioinformatics, or a related field approved by USAFSAM/FES. * Minimum of five (5) years of experience applying statistical methods in public ...

New

SIERTEK LTD

Epidemiologist (25.38)

Dayton, OH · On-site

MPH, MS, or PhD in Epidemiology, Statistics, Data Science, Bioinformatics, or a related field approved by USAFSAM/FES. * Minimum of five (5) years of experience applying statistical methods in public ...

New

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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.
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What cities in Ohio are hiring for Phd In Statistics jobs? Cities in Ohio with the most Phd In Statistics job openings:
Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Ohio as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Radiance Technologies

Beavercreek, OH

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago

Job description

Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Additionally, this position will improve upon current methods for the automated processing and exploitation of large data sets. This will include R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to detect, track, and characterize targets of interest.

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

Required Experience:

  • A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)

  • Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering

Required Skills & Qualifications:

  • Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field

  • Strong programming skills in at least one of the following languages Python, Matlab, C++

  • Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras

  • Active Secret Clearance with ability to obtain and maintain a TS/SCI

Desired Skills:

  • ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience

  • PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired

  • A mathematical background (Probability and Statistics)

  • An experienced grasp of version control using Git for nonlinear workflows

  • Thorough understanding of working in research, development and production environments

  • Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus

  • R&D on remotely sensed data to include modeling and development of algorithms.

  • Ability to work independently or in a team environment

  • Strong technical writing and oral communication skills

  • Active Top Secret/SCI clearance

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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