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Math Phd Salary Jobs (NOW HIRING)

$175K - $200K/yr

PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant ... Salary Range: $175,000 - $200,000 (salary range is exclusive of bonuses, benefits or other ...

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant ... Salary Range: $175,000 - $200,000 (salary range is exclusive of bonuses, benefits or other ...

Design mathematical models based upon trading ideas * Implement and deploy new models into ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

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Math Phd Salary information

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$8

$27

$38

How much do math phd salary jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for math phd salary in the United States is $27.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $29.33 per hour, depending on experience, location, and employer.

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

To thrive as a Mathematics PhD holder, you need deep expertise in mathematical theory, advanced problem-solving skills, and a doctoral degree in mathematics or a closely related field. Familiarity with statistical analysis software, programming languages (such as Python or MATLAB), and research publication systems is often required. Exceptional analytical thinking, collaboration, and clear communication skills set top candidates apart. These abilities are crucial for producing innovative research, effectively sharing complex ideas, and contributing to interdisciplinary teams in academia, industry, or government.

What is the difference between Math Phd Salary vs Data Scientist Salary?

AspectMath Phd SalaryData Scientist Salary
Required credentialsMath PhD, advanced quantitative skillsBachelor's or Master's in CS, Stats, or related field; often a PhD preferred
Work environmentResearch institutions, academia, government labsTech companies, finance, consulting firms
Industry usageAcademic research, government projects, specialized industriesTechnology, finance, healthcare, retail
Common search intentSalary comparison, career prospects, job roles

While Math PhDs often focus on research and theoretical work, Data Scientists typically work in applied settings analyzing data to inform business decisions. Salaries can overlap, but Data Scientists tend to have higher starting salaries due to industry demand and practical skills.

What is the average salary for someone with a Math PhD?

The average salary for individuals with a Math PhD can vary widely depending on their career path. Academic positions, such as assistant professors at universities, typically start around $60,000 to $90,000 per year, while tenured professors can earn significantly more. In industry roles, such as data science, finance, or technology, Math PhDs can earn starting salaries ranging from $90,000 to $130,000 or higher, depending on the sector and location. Salaries tend to increase with experience, expertise, and the specific demands of the job.

What jobs can I get with a math PhD?

A math PhD can qualify you for roles such as data scientist, quantitative analyst, research scientist, operations researcher, or university professor. These positions often require strong analytical, statistical, and programming skills, and may involve research, modeling, or teaching in academic, financial, or technology sectors.

What career paths are commonly available to individuals with a math PhD, and how do these impact potential salary growth over time?

Individuals with a Math PhD have a wide range of career opportunities, including academia, research, finance, data science, and technology sectors. Those who pursue academic roles may start as postdoctoral researchers or assistant professors, with salaries growing as they advance to tenured positions. In industry roles such as quantitative analyst or data scientist, salaries are often higher and tend to increase rapidly with experience and specialization. Additionally, working in government research labs or private R&D can provide stable career progression and competitive compensation. Salary growth is closely tied to sector, geographic location, and the individual's ability to leverage specialized expertise.

Do math PhDs make good money?

Math PhDs often earn high salaries, especially in academia, research, data science, and finance, where advanced analytical and problem-solving skills are valued. Salaries can vary widely based on industry, experience, and location, with some positions offering six-figure incomes or higher. Additional qualifications such as programming skills or teaching experience can also influence earning potential.

Are math PhDs in demand?

Math PhDs are in demand in fields such as data science, finance, academia, and research institutions, where advanced analytical and problem-solving skills are valued. Employment opportunities often require strong quantitative skills, programming knowledge, and research experience, with demand driven by data-driven decision making and technological advancements.
More about Math Phd Salary jobs
What cities are hiring for Math Phd Salary jobs? Cities with the most Math Phd Salary job openings:
What states have the most Math Phd Salary jobs? States with the most job openings for Math Phd Salary jobs include:
Infographic showing various Math Phd Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $57,798 per year, or $27.8 per hour.

Current PhD - Data Science Internship - Summer 2027

Capital One

Mclean, VA • On-site

Full-time

Posted 18 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Current PhD - Data Science Internship - Summer 2027
Key Role Details
  • This is a full-time paid internship program spanning ten weeks from June through August 2027.
  • Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program.
  • Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.
Basic Qualifications
  • Currently has, or is in the process of obtaining a PhD in one of the following areas with an expectation that the required degree will be obtained by August 2029 or earlier:
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
  • Must be continuing in the same course of study of your PhD degree following completion of the internship
  • At least 6 months experience or academic work using open source programming languages for data analysis
  • At least 6 months of experience or academic work using machine learning techniques
  • At least 6 months of experience with either Python, R or SQL

Preferred Qualifications:
  • Experience or academic work in inferential statistics
  • Experience or academic work with relational databases
  • Experience or academic work with large scale data analysis

Data Science Internship - 2027
As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.
On any given day, you might:
  • Evaluate open-source and internally-developed modeling and analytics tools using real business data
  • Integrate internal data with external data sources and APIs to discover and implement actionable insights
  • Design and craft data science models to communicate solutions to customers and company leadership

We'd love to find someone who is...
  • Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment
  • A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.
  • An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.
  • A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $176,000 - $176,000 for Data Science PhD Intern
Chicago, IL: $160,000 - $160,000 for Data Science PhD Intern
McLean, VA: $176,000 - $176,000 for Data Science PhD Intern
New York, NY: $192,000 - $192,000 for Data Science PhD Intern
Plano, TX: $160,000 - $160,000 for Data Science PhD Intern
Richmond, VA: $160,000 - $160,000 for Data Science PhD Intern
San Francisco, CA: $192,000 - $192,000 for Data Science PhD Intern
San Jose, CA: $192,000 - $192,000 for Data Science PhD Intern
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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