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Recent Math Graduate Jobs in Los Angeles, CA (NOW HIRING)

City of Hope

Research Associate I

Duarte, CA · On-site

... suited for recent graduates and individuals preparing for graduate training in biostatistics ... Mathematics, Computer Science, Epidemiology, Public Health, Bioinformatics, or a related ...

City of Hope

Research Associate I

Duarte, CA · On-site

... suited for recent graduates and individuals preparing for graduate training in biostatistics ... Bachelor's degree in Statistics, Biostatistics, Data Science, Mathematics, Computer Science ...

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All JobsRecent Math Graduate JobsRecent Math Graduate Jobs in Los Angeles, CA

Recent Math Graduate information

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$24.2K

$63.4K

$101.8K

How much do recent math graduate jobs pay per year?

As of Sep 3, 2026, the average yearly pay for recent math graduate in Los Angeles, CA is $63,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $75,400.00 per year, depending on experience, location, and employer.

What is a recent math graduate?

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 types of entry-level roles are available to a recent math graduate, 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 as a recent math graduate, 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.

Are there jobs for math graduates?

Math graduates can find employment in fields such as data analysis, finance, actuarial science, research, and education. These roles often require strong analytical skills, proficiency in programming tools like Python or R, and sometimes certifications or advanced degrees for specialized positions.

What jobs can I get with a master's in mathematics?

A master's in mathematics qualifies you for roles such as data analyst, quantitative analyst, operations researcher, or actuarial analyst. These positions often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software or programming languages like Python or R.

What jobs do recent math graduates get after graduation?

Recent math graduates often pursue roles such as data analysts, actuaries, financial analysts, operations researchers, and software developers. These positions typically require strong analytical, problem-solving, and quantitative skills, and may involve working with statistical software, programming languages, or financial models.

What math jobs are in high demand?

Math graduates are in high demand for roles such as data analysts, data scientists, actuaries, quantitative analysts, and operations researchers. These positions often require strong analytical skills, proficiency in programming languages like Python or R, and knowledge of statistical tools, with industries including finance, technology, healthcare, and government actively hiring for these roles.

What are popular job titles related to Recent Math Graduate jobs in Los Angeles, CA?

For Recent Math Graduate jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Recent Math Graduate jobs in Los Angeles, CA look for?

The top searched job categories for Recent Math Graduate jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Recent Math Graduate jobs?

Cities near Los Angeles, CA with the most Recent Math Graduate job openings:

Recent Math Graduate jobs near you
Infographic showing various Recent Math Graduate job openings in Los Angeles, CA as of August 2026, with employment types broken down into 3% As Needed, 75% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $63,398 per year, or $30.5 per hour.

Rainmaker Fellow, Machine Learning

Rainmaker Technology Corporation

El Segundo, CA • On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 12 days ago

Job description

About Rainmaker

Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding technologies to design, operate, and evaluate precipitation-enhancement programs.

Rainmaker collects unusual atmospheric datasets because we build sensors, operate aircraft, fly into clouds, and deliberately intervene in atmospheric systems. Our long-term advantage depends on turning those observations into better estimates, forecasts, and operational decisions.

About the Fellowship

The Rainmaker Machine Learning Fellowship is a paid, full-time research appointment for exceptional undergraduate and graduate students, postdoctoral researchers, recent graduates, and other early-career researchers.

As a fellow, you will join Rainmaker's R&D team and work alongside our researchers on a scoped machine-learning project drawn from Rainmaker's current research priorities and defined in close collaboration with your research lead or mentor. Project matching will consider available data, mentor capacity, team needs, and your background. You will take responsibility for a concrete workstream while contributing to the broader team's research, reviews, and technical decisions.

You will work with real sensor and operational data, establish credible baselines, build and evaluate models, and leave behind a durable dataset, system, or research artifact that Rainmaker can continue using. Fellows are not expected to arrive with an independent research agenda or define a project in isolation.

Examples of the Work

Fellowship projects change with Rainmaker's research and operational priorities. Examples of the work our ML team may pursue include:

  • Developing a short-range supercooled liquid water opportunity forecast using public NWP and Rainmaker observations.
  • Predicting hail-core growth, motion, splitting, and decay from radar sequences.
  • Building a bounded multimodal atmospheric-state reconstruction pilot.
  • Improving microwave-sounder retrievals using Rainmaker observations.
  • Modeling another scientific or operational problem selected with Rainmaker's ML and atmospheric-science teams.
What You'll Do
  • Translate a scientific or operational question into a measurable ML problem.
  • Build or improve the training and validation dataset needed for the project.
  • Establish simple, reproducible baselines before introducing more complex models.
  • Train, evaluate, and debug models using held-out weather events, regions, or operating conditions.
  • Quantify calibration, uncertainty, generalization, failure modes, and sensitivity to missing or biased data.
  • Work closely with atmospheric scientists to define useful targets, ground truth, physical constraints, and operational success criteria.
  • Produce clear, reusable code and documentation.
  • Present your results to Rainmaker's scientists, engineers, operators, and technical leadership.
  • Deliver a final artifact such as a benchmark dataset, model, prototype product, evaluation report, or research paper.
What We're Looking For
  • Current undergraduate, master's, or PhD students; postdoctoral researchers; recent graduates; and other early-career researchers are all eligible.
  • Strong Python programming ability and experience with a modern ML framework.
  • Evidence that you can independently build, test, and debug technical work.
  • Strong quantitative reasoning and an ability to design credible experiments.
  • Interest in noisy, sparse, multimodal, spatial, temporal, or physical data.
  • Ability to make progress on ambiguous research problems while incorporating mentor feedback.
  • Clear written and verbal communication.
  • Availability for full-time, on-site work in El Segundo for the agreed appointment.
Particularly Relevant Backgrounds
  • Machine learning, computer science, applied mathematics, statistics, physics, meteorology, remote sensing, robotics, autonomy, geospatial analysis, or scientific computing.
  • Forecasting, sequence modeling, computer vision, state estimation, sensor fusion, probabilistic modeling, data assimilation, or uncertainty quantification.
  • Weather knowledge is valuable but not required.
What Success Looks Like

By the end of the fellowship, you will have answered a clearly defined technical question and produced a rigorous, reusable result that advances the team's work. Depending on the project, that might be a benchmark dataset, evaluated model, prototype product, forecasting or retrieval improvement, or a well-supported analysis of performance and failure modes.

Success does not require a positive scientific result. A well-supported finding that the available data cannot answer the question-and a concrete recommendation for what Rainmaker should measure next-can be highly valuable.

Fellowship Details
  • Paid, full-time, and on-site in El Segundo.
  • Three-to-six-month appointment, with four months as the standard duration.
  • Rolling applications and flexible start dates based on project and mentor readiness.
  • Possible consideration for future full-time roles, without any promise or expectation of conversion.
Compensation and Benefits

$8,000 per month

Benefits:

  • Full health coverage (medical, dental, and vision insurance)
  • Lunch provided when working in-office and a fully stocked kitchenette
  • Free EV charging at the HQ
$8,000 - $8,000 a month
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