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Recent Math Graduate Jobs in Tracy, CA (NOW HIRING)

Intern - 9370

Stockton, CA ยท On-site

$15.75 - $21/hr

Actively pursuing an associate's or bachelor's degree or recent graduate in related field ... Intermediate mathematical skills * Ability to meet deadlines * Ability to problem-solve

Intern - 9370

Stockton, CA

$15.75 - $21/hr

Actively pursuing an associate's or bachelor's degree or recent graduate in related field ... Intermediate mathematical skills * Ability to meet deadlines * Ability to problem-solve

Intern - 9370

Stockton, CA ยท On-site

$15.75 - $21/hr

Actively pursuing an associate's or bachelor's degree or recent graduate in related field ... Intermediate mathematical skills * Ability to meet deadlines * Ability to problem-solve

Intern - 9370

Stockton, CA ยท On-site

$15.75 - $21/hr

Actively pursuing an associate's or bachelor's degree or recent graduate in related field ... Intermediate mathematical skills * Ability to meet deadlines * Ability to problem-solve

Recent Math Graduate information

See Tracy, CA salary details

$24.2K

$63.3K

$101.7K

How much do recent math graduate jobs pay per year?

As of Jun 26, 2026, the average yearly pay for recent math graduate in Tracy, CA is $63,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $75,400.00 per year, depending on experience, location, and employer.

What jobs make $10,000 a month without a degree?

Recent math graduates can potentially earn $10,000 a month in roles such as data analysts, financial analysts, or software developers, especially with strong analytical skills and experience. High-paying freelance consulting or specialized roles in finance, tech, or sales may also reach this income level without a formal degree, but typically require relevant skills, certifications, or a strong professional network.

What jobs can a maths graduate do?

A maths graduate can pursue roles such as data analyst, financial analyst, actuary, statistician, operations researcher, or software developer. These positions often require strong analytical, problem-solving, and quantitative skills, and may involve working with statistical software, programming languages, or financial models.

What can you do with a graduate degree in math?

A recent math graduate can pursue careers in data analysis, finance, actuarial science, research, teaching, or software development. These roles often require strong analytical, problem-solving, and technical skills, and may involve using tools like programming languages or statistical software.

What is a Recent Math Graduate job?

A Recent Math Graduate job typically refers to entry-level roles suitable for individuals who have recently earned a degree in mathematics. These positions can be found in industries such as finance, data analysis, technology, education, and research. Common job titles include data analyst, actuarial assistant, financial analyst, or math tutor. Employers seek candidates with strong problem-solving skills, analytical thinking, and proficiency in mathematical modeling or programming. These roles provide an opportunity for graduates to apply their mathematical knowledge in real-world scenarios and build professional experience.

What math careers are in demand?

Math graduates can pursue in-demand careers such as data analysts, actuaries, financial analysts, and operations research analysts. These roles often require strong analytical skills, proficiency in statistical software, and sometimes certifications like CFA or actuarial credentials. Demand is driven by industries like finance, healthcare, technology, and government agencies seeking quantitative expertise.

What types of entry-level roles are available to Recent Math Graduates, and how do these positions typically utilize mathematical skills?

Recent Math Graduates are often considered for positions such as data analyst, actuarial assistant, financial analyst, operations research assistant, or junior data scientist. In these roles, you'll use your mathematical training to analyze data, create forecasts, solve optimization problems, and support decision-making processes across industries like finance, technology, and research. You may be responsible for building statistical models, preparing reports, and collaborating with cross-functional teams to interpret quantitative results. These positions serve as excellent foundations for developing specialized expertise and building a successful career in quantitative fields.

What are the key skills and qualifications needed to thrive in the Recent Math Graduate position, and why are they important?

To thrive as a Recent Math Graduate, you need a strong understanding of mathematical concepts, analytical reasoning, and problem-solving skills, typically supported by a bachelor's degree in mathematics or a closely related field. Familiarity with tools such as Excel, MATLAB, Python, or statistical software is highly advantageous for practical data analysis and modeling tasks. Effective communication, teamwork, and the ability to adapt to new challenges are crucial soft skills that set successful candidates apart. These abilities help Recent Math Graduates contribute to diverse projects, translate complex numbers into actionable insights, and collaborate across various professional settings.

What are popular job titles related to Recent Math Graduate jobs in Tracy, CA? For Recent Math Graduate jobs in Tracy, CA, the most frequently searched job titles are:
What job categories do people searching Recent Math Graduate jobs in Tracy, CA look for? The top searched job categories for Recent Math Graduate jobs in Tracy, CA are:
What cities near Tracy, CA are hiring for Recent Math Graduate jobs? Cities near Tracy, CA with the most Recent Math Graduate job openings:
Machine Learning Physics Graduate Student

Machine Learning Physics Graduate Student

LLNL

Livermore, CA โ€ข On-site

$9.8K/wk

Full-time

Retirement

Posted 24 days ago


Job description

Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
We have multiple openings for Machine Learning Graduate Student Interns to engage in practical research experience to further their educational goals. You will work on multidisciplinary projects, such as development of classical empirical and machine learning interatomic potentials, discovery of partial differential equations (PDEs), numerical solutions of partial differential equations to model material behavior at continuum scale and analysis of large atomic datasets. These positions are in in the Equation of State Materials Theory Group of the Physics Division of the Physical & Life Sciences Directorate.
This position requires full-time on-site presence due to the nature of the work.
You will
  • Develop parallel C/C++/Python codes to train, test and evolve (a) PDEs (for phase field and phase field crystal models) discovered from data, and (b) interatomic potentials developed from quantum simulations.
  • Explore the use of machine learning methods to discover and evolve PDEs for phase field and phase field crystal models.
  • Analyze results, provide weekly updates and present work at poster sessions
  • Review literature in the field of study, document results and write papers.
  • Perform other duties as assigned.

Qualifications
  • Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
  • Continuing student in good standing at an accredited institution of higher education pursuing a graduate degree in Physics or related field.
  • Research background with a record of publication.
  • Experience in writing codes (in C/C++ and Python) and a background in Materials Science/Engineering/Physics/Applied Mathematics.
  • Excellent skills in written and verbal communication, as well as teamwork.

Qualifications We Desire
  • Experience in parallel computing, porting codes to GPUs, experience in numerical solutions of partial differential equations.

Pay Range
$6,752 - $8,201 Monthly
This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year.
Additional Information
#LI-Onsite
Why Lawrence Livermore National Laboratory?
  • Included in 2026 Best Places to Work by Glassdoor!
  • Holiday Pay
  • Sick leave accrual
  • Individual 401(k) contributions
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance
None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check.
National Defense Authorization Act (NDAA)
The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
Videos To Watch
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