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Phd In Statistics Jobs in Georgia (NOW HIRING)

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Massgeneralbrigham

$70K - $71K/yr

Statistical methods * Implementation Science workshops * Design and conduct of clinical trials ... PhD in a health or rehabilitation field. * Clinical training in a health or rehabilitation ...

Salesforce, Inc.

Data Science Principal

Atlanta, GA

... statistical methods, experimentation, segmentation frameworks, and forecasting methodologies to ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

Salesforce

Data Science Principal

Atlanta, GA

... statistical methods, experimentation, segmentation frameworks, and forecasting methodologies to ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

Inspire Brands

Data Scientist

Atlanta, GA · On-site

Familiarity with statistics andmachine learning concepts isessentialOR * Master's degree in a STEM fieldwith1-2yearsofwork experienceOR * PhD in a STEM fieldwith0-1yearsofwork experience * PREFERRED:

Inspire Brands

Data Scientist

Atlanta, GA · On-site

Familiarity with statistics andmachine learning concepts isessentialOR * Master's degree in a STEM fieldwith1-2yearsofwork experienceOR * PhD in a STEM fieldwith0-1yearsofwork experience * PREFERRED:

Novelis

Modeling Scientist

Kennesaw, GA · On-site

PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ... Strong foundation in statistical modeling, machine learning algorithms, and model evaluation ...

Novelis Global R&T

Modeling Scientist

Kennesaw, GA · On-site

PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ... Strong foundation in statistical modeling, machine learning algorithms, and model evaluation ...

Novelis Global R&T

Modeling Scientist

Kennesaw, GA · On-site

PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ... Strong foundation in statistical modeling, machine learning algorithms, and model evaluation ...

Inspire Brands, Inc.

Data Scientist

Sandy Springs, GA · On-site

Familiarity with statistics and machine learning concepts is essential OR * Master's degree in a STEM field with 1-2 years of work experience OR * PhD in a STEM field with 0-1 years of work ...

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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.

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 Georgia?

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

What job categories do people searching Phd In Statistics jobs in Georgia look for?

The top searched job categories for Phd In Statistics jobs in Georgia are:

What cities in Georgia are hiring for Phd In Statistics jobs?

Cities in Georgia with the most Phd In Statistics job openings:

Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Georgia as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Senior Staff AI Scientist

Intuit

Atlanta, GA • On-site

Full-time

Re-posted 9 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 247 rated software companies

Job description

Overview

Intuit is looking for innovative and hands-on Senior Staff AI Scientist to join the Intuit AI team.

Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.


Responsibilities

  • Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
  • Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
  • Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
  • Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization. 
  • Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.  
  • Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
  • Communicates with partners to ensure successful delivery and integration of DS solutions.  
  • Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.

Qualifications

  • 6+ years of industry experience with AI science
  • BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
  • 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
  • Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
  • Proficient  in NLP techniques, Explainable AI, and ML frameworks. 
  • Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
  • Efficient in SQL, Hive, SparkSQL, etc.
  • Comfortable working in a Linux environment
  • Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
  • Quick learner, adaptable, with the ability to work independently in a fast-paced environment
  • Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

What Intuit employees say

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