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Applied Mathematics Phd Jobs (NOW HIRING)

Jobtailor

Principal Applied Scientist

California, MO · On-site

$180 - $280/hr

Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, Engineering, Data Science, Economics, or a related quantitative discipline * Minimum ...

Mercor

Engineering PhD - Benchmark Specialist

New York, NY · On-site +1

$61 - $77/hr

PhD or doctoral candidate in Engineering or a closely related field. * Master's degree considered ... Strong command of graduate-level engineering principles, applied mathematics, and domain-specific ...

Capital One

Applied Researcher II

Cambridge, MA · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

New York, NY · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

Cambridge, MA · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

Mclean, VA

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

Mclean, VA · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

New York, NY · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

Mclean, VA

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

Manhattan, NY

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

New York, NY · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

New York, NY · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

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Applied Mathematics Phd information

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$58.8K

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How much do applied mathematics phd jobs pay per year?

As of Aug 22, 2026, the average yearly pay for applied mathematics phd in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is an applied mathematics PhD?

Applied Mathematics PhDs are advanced academic degrees focused on the development and application of mathematical methods to solve real-world problems in science, engineering, business, and other fields. Students in these programs engage in research that often bridges theoretical mathematics and practical applications, such as modeling physical phenomena, analyzing data, or optimizing systems. Graduates are equipped to work in academia, industry, government, or research institutions, contributing mathematical expertise to a wide range of disciplines.

What types of projects or research areas do applied mathematics PhDs typically work on within industry settings?

Applied Mathematics PhD holders often work on projects involving data analysis, mathematical modeling, algorithm development, and optimization in industries such as finance, technology, healthcare, and engineering. They may collaborate with interdisciplinary teams to solve complex real-world problems, such as developing predictive models, optimizing processes, or designing simulations. These roles often require strong communication skills to translate mathematical concepts into practical solutions for stakeholders. The work environment is typically collaborative, with opportunities to lead projects or move into specialized or managerial positions over time.

What are the key skills and qualifications needed to thrive as an applied mathematics PhD, and why are they important?

To thrive as an Applied Mathematics PhD, you need advanced mathematical modeling, analytical thinking, and quantitative problem-solving skills, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and experience with computational tools is often required. Strong communication, collaboration abilities, and adaptability are essential soft skills for conveying complex concepts and working in multidisciplinary teams. These skills are crucial for developing innovative solutions to real-world problems and effectively contributing to academic, industrial, or research environments.

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

AspectApplied Mathematics PhdData Scientist
Required CredentialsPhD in Applied Mathematics or related fieldBachelor's or Master's in Computer Science, Statistics, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageModel development, algorithm design, researchData analysis, predictive modeling, business insights
Common Search/ComparisonApplied Mathematics Phd vs Data Scientist

While both roles involve data analysis and modeling, Applied Mathematics Phds focus more on theoretical research and developing new algorithms, often in research or academic settings. Data Scientists typically apply existing models to solve business problems in industry. The roles overlap in quantitative skills but differ in focus and work environment.

Are applied mathematics PhDs in demand?

Applied mathematics PhDs are in demand across industries such as finance, data science, engineering, and research, where advanced analytical and problem-solving skills are valued. These roles often require strong programming, statistical, and modeling expertise, with employment opportunities available in academia, government, and private sectors.

Is an applied mathematics PhD worth it?

An applied mathematics PhD can lead to careers in research, data analysis, finance, and academia, often requiring strong analytical and programming skills. While it offers advanced expertise, the value depends on career goals and industry demand, which can vary by field and location.

What can I do with a PhD in applied mathematics?

A PhD in applied mathematics prepares individuals for research, data analysis, and modeling roles across industries such as finance, engineering, technology, and academia. Graduates often work as quantitative analysts, data scientists, operations researchers, or in roles requiring advanced problem-solving and programming skills with tools like MATLAB, Python, or R.
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Applied Mathematics Phd jobs near you
Infographic showing various Applied Mathematics Phd job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Principal Applied Scientist

Jobtailor

California, MO • On-site

$180 - $280/hr

Other

Posted 17 days ago

Job description

Responsibilities
  • Defines and drives enterprise artificial intelligence and machine learning strategy aligned with organizational priorities
  • Leads the design, validation, deployment, monitoring, and continuous improvement of advanced artificial intelligence and machine learning solutions
  • Architects scalable end-to-end production systems, including model training, evaluation, deployment, monitoring, and lifecycle management
  • Translates complex business challenges into scalable artificial intelligence solutions with measurable outcomes
  • Establishes technical standards, reusable patterns, and best practices for enterprise artificial intelligence development and governance
  • Partners with business and technology leaders to influence capability roadmaps and deliver sustainable business value
  • Mentors data scientists, machine learning engineers, researchers, and technical leaders
Requirements
  • Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, Engineering, Data Science, Economics, or a related quantitative discipline
  • Minimum of 10 years of experience in machine learning, data science, artificial intelligence, advanced analytics, or related technical fields
  • Experience leading artificial intelligence or machine learning initiatives from concept through production deployment
  • Experience with Python, machine learning frameworks, cloud-based artificial intelligence, or machine learning platforms, MLOps, model deployment, monitoring, lifecycle management, and structured and unstructured data systems
Core Competencies

Demonstrates expertise in defining and implementing enterprise artificial intelligence and machine learning strategies, with a strong focus on scalable solutions and measurable outcomes. Proficient in leading cross-functional teams and mentoring technical professionals to drive innovation and business value.

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