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Phd In Statistics Jobs in Kentucky (NOW HIRING)

Wood Plc

Senior Risk Assessor

Louisville, KY · On-site +1

Master's degree in toxicology or related field; PhD preferred * Minimum of seven years' experience ... Knowledge of toxicology, statistics, human health risk assessment and regulatory compliance

Wood Plc

Senior Risk Assessor

Lexington, KY · On-site +1

Master's degree in toxicology or related field; PhD preferred * Minimum of seven years' experience ... Knowledge of toxicology, statistics, human health risk assessment and regulatory compliance

Galls

Data Scientist

Lexington, KY

... PhD degree in Computer Science, Machine Learning, Engineering, or another highly quantitative discipline * 5+ years of hands-on experience building AI/ML/NLP solutions and applying statistical ...

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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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Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Kentucky as of July 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution.
Senior Data Scientist, Cost Prediction

Senior Data Scientist, Cost Prediction

Xometry

Lexington, KY • Hybrid

Other

This job post has expired today. Applications are no longer accepted.

Job description

Xometry is adding a Senior Data Scientist to our cost prediction team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. 

Responsibilities:

  • Use data science and machine learning principles to develop effective predictive models using 3D data
  • Write software to prepare, clean, and sample data for use in developing predictive models
  • Use cloud resources (e.g., Amazon Web Services) to prepare and process data
  • Query and extract data from databases (Snowflake and MongoDB)
  • Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
  • Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
  • Solve challenging, uncharted problems
  • Work in an environment that thrives on teamwork and continuous learning opportunities

Requirements:

  • Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred
  • M.S. or PhD in a related field highly desired
  • 5+ years of experience with machine learning, statistical modeling, and optimization techniques
  • 2+ years of experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds
  • Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
  • Proficient in linear algebra and statistics
  • Familiar with scientific software principals, e.g. versioning systems, reproducibility, code deployment
  • Experience in the manufacturing industry is desired
  • Must be a US Citizen or Green Card holder (ITAR) 

#LI-Hybrid

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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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