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Phd In Mathematics Jobs in Georgia (NOW HIRING)

Intuit

AI Scientist 2

Atlanta, GA

MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience. * 1+ years of experience in modern AI/ML tools and ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience. * 1+ years of experience in modern AI/ML tools and ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience. * 1+ years of experience in modern AI/ML tools and ...

MMS

Study Design Statistician (US)

Atlanta, GA · On-site

Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred. * 5-7 years of experience in the application of medical statistics ...

Intuit

Staff AI Scientist

Atlanta, GA

Qualifications * 4+ 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 ...

Coca-Cola

Director, Predictive Modeling

Atlanta, GA · On-site

Master's degree preferredor PhD in Statistics, Data Science, Economics, Mathematics, Computer Science, Operations Research, or a related quantitative discipline. Experience * 8-10+ years of hands-on ...

Intuit

Staff AI Scientist

Atlanta, GA

Qualifications * 4+ 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

Staff AI Scientist

Atlanta, GA · On-site

Qualifications * 4+ 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

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

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 ...

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Phd In Mathematics information

What is a PhD in Mathematics?

A PhD in Mathematics is the highest academic degree in the field of mathematics, typically awarded after several years of original research and advanced coursework. The program involves the completion of a dissertation that contributes new knowledge to mathematical theory or application. Graduates are prepared for careers in academia, research, industry, and government, where they can apply their expertise to solve complex problems or teach at a university level.

Is a PhD in mathematics worth it?

A PhD in mathematics prepares individuals for careers in academia, research, data analysis, and quantitative roles, often requiring strong problem-solving and analytical skills. While it can lead to high-level positions, it typically involves several years of study and may have limited direct industry applications compared to other degrees, making its value dependent on career goals.

What is the salary of a PhD in mathematics?

The salary of a PhD in mathematics varies depending on the industry, experience, and location. Typically, mathematicians with a PhD working in academia, research, or industry can expect salaries ranging from $70,000 to over $120,000 annually. Higher salaries are common in private sector roles such as data science, finance, or technology companies that require advanced quantitative skills.

What types of collaborative opportunities are available for someone with a PhD in Mathematics within academic or industry settings?

Individuals with a PhD in Mathematics often collaborate with professionals from various disciplines, such as computer science, engineering, economics, or biology, depending on their area of expertise. In academia, this may involve joint research projects, interdisciplinary teaching, or grant applications with faculty from other departments. In industry, mathematicians frequently work on teams with data scientists, engineers, or analysts to solve complex problems, optimize processes, or develop new technologies. These collaborations not only broaden the impact of mathematical research but also provide valuable professional networking and learning opportunities.

Are math PhDs in demand?

Math PhDs are in demand in fields such as academia, data science, finance, and technology, where advanced analytical and problem-solving skills are valued. They often find opportunities in research, consulting, and roles requiring quantitative expertise, with employment prospects improving as data-driven decision-making grows across industries.

What is the difference between Phd In Mathematics vs Data Scientist?

AspectPhd In MathematicsData Scientist
Required CredentialsDoctorate in Mathematics or related fieldBachelor's or Master's in Math, Statistics, CS, or related field; PhD preferred
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, finance, healthcare
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search IntentAcademic careers, research rolesData analysis, machine learning roles

While a Phd in Mathematics focuses on advanced research and theoretical work, a Data Scientist applies mathematical and statistical skills to analyze data and solve business problems. Both roles require strong quantitative skills, but Data Scientists often work in industry settings with a focus on practical data applications.

What are the key skills and qualifications needed to thrive as a PhD in Mathematics, and why are they important?

To thrive as a PhD in Mathematics, you need advanced mathematical reasoning, problem-solving abilities, and a deep understanding of mathematical theory, usually supported by a strong academic background and research experience. Familiarity with mathematical software (such as MATLAB, Mathematica, or Python for computational work) and experience with academic publishing are commonly required. Strong analytical thinking, perseverance, and effective communication skills help you excel in research, teaching, and collaboration. These skills are crucial for pushing the boundaries of mathematical knowledge and successfully sharing insights with both academic and broader audiences.
What are popular job titles related to Phd In Mathematics jobs in Georgia? For Phd In Mathematics jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Phd In Mathematics jobs in Georgia look for? The top searched job categories for Phd In Mathematics jobs in Georgia are:
What cities in Georgia are hiring for Phd In Mathematics jobs? Cities in Georgia with the most Phd In Mathematics job openings:
Phd In Mathematics jobs near you
Infographic showing various Phd In Mathematics job openings in Georgia as of August 2026, with employment types broken down into 79% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

AI Scientist 2

Intuit

Atlanta, GA

Full-time

Re-posted 6 days ago

Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

87th of 243 rated software companies

Job description

We are seeking an AI Scientist to work with our collaborative and creative group of scientists and engineers to design and implement the next generation AI and machine learning systems that will power our omnichannel marketing platform. In this role, you will develop and deploy modern machine learning and AI models directly in our core product to address key customer challenges. We are looking for someone passionate about the full model development lifecycle, eager to collaborate with product managers to shape innovative AI product experiences, and driven to make a significant impact on our customers.


Responsibilities


  • Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.

  • Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and implementing solutions that support broader AI initiatives.

  • Collaborate with product managers, software engineers, and designers in designing experiments and minimum viable products, learning to integrate insights from advanced AI systems.

  • Discover, process, and train on huge data sets.

  • In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of your models, and communicate results to peers and leaders.

  • Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.


Qualifications


  • MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.

  • 1+ years of experience in modern AI/ML tools and proficient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus.

  • 1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus.

  • Familiar with the latest trends and applications of generative AI including agentic applications. 

  • Efficient in SQL

  • Comfortable in a Linux environment

  • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.


Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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. 



Employment Type: Full-Time

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