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Math Major Jobs in Riverside, CA (NOW HIRING)

Hill International

Sr. Cost Specialist

Pomona, CA · Hybrid

$110K - $130K/yr

Preferred Finance, Accounting, or Mathematical background. * 7+ years' experience in cost controls ... Develop and maintain project budgets/baseline and expenditure plans for assigned major and/or multi ...

Hill International

Sr. Cost Specialist

Pomona, CA · On-site

$110K - $130K/yr

Develop and maintain project budgets/baseline and expenditure plans for assigned major and/or multi ... Preferred Finance, Accounting, or Mathematical background. * 7+ years' experience in cost controls ...

Carpenter Co.

Leadperson Maintenance

Riverside, CA

Major challenges involve the timely repair of equipment to make sure equipment is ready to make ... Basic reading, writing and mathematical skills are essential. * Ability to read and interpret a ...

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All JobsMath Major JobsMath Major Jobs in Riverside, CA

Math Major information

See Riverside, CA salary details

$23.5K

$61.4K

$98.6K

How much do math major jobs pay per year?

As of Jul 14, 2026, the average yearly pay for math major in Riverside, CA is $61,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $73,000.00 per year, depending on experience, location, and employer.

What are math majors?

Math majors are students who specialize in mathematics during their undergraduate studies. They focus on areas such as calculus, algebra, statistics, and mathematical theory, honing their problem-solving and analytical skills. Math majors often pursue careers in fields like data analysis, finance, teaching, research, or technology. Their training prepares them to tackle complex problems and understand abstract concepts, making them valuable in a wide range of industries.

What is the difference between Math Major vs Data Analyst?

AspectMath MajorData Analyst
Required CredentialsTypically a bachelor's degree in mathematics or related fieldBachelor's degree in statistics, mathematics, or related field; often requires knowledge of data tools
Work EnvironmentAcademic, research, or industry settings involving problem-solving and theoretical workBusiness, finance, healthcare, or tech companies analyzing data to inform decisions
Industry UsageUsed in academia, research, finance, and tech sectorsCommon in marketing, finance, healthcare, and consulting industries
Common Search & ComparisonMath Major vs Data Analyst

While a Math Major focuses on theoretical and mathematical problem-solving skills, a Data Analyst applies these skills to interpret data and support business decisions. Both roles require strong analytical abilities, but Data Analysts often need proficiency in data tools and software. Understanding these differences helps in choosing the right career path or educational focus.

What are the key skills and qualifications needed to thrive as a Math Major, and why are they important?

To thrive as a Math Major, you need strong analytical abilities, problem-solving skills, and a solid background in algebra, calculus, and statistics, typically supported by formal coursework or a related degree program. Familiarity with mathematical software such as MATLAB, Mathematica, or Python is often essential for tackling complex computations and modeling. Effective communication, persistence, and critical thinking are valuable soft skills that help you articulate solutions and collaborate on projects. These skills are crucial for mastering advanced mathematical concepts, succeeding in research or industry roles, and preparing for further academic or professional pursuits.

What types of entry-level positions are commonly available to math majors, and how can I leverage my degree to stand out in the application process?

Math majors often qualify for entry-level roles such as data analyst, actuarial assistant, financial analyst, operations research assistant, and junior statistician. To stand out, highlight your problem-solving skills, experience with quantitative software (like Excel, R, or Python), and any internships or projects that demonstrate your ability to apply mathematical concepts in real-world scenarios. Emphasize teamwork and communication abilities, as many positions require collaborating with colleagues from different backgrounds to solve complex business problems. Tailoring your resume and cover letter to showcase these strengths can help you succeed in a competitive job market.
What are popular job titles related to Math Major jobs in Riverside, CA? For Math Major jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Math Major jobs in Riverside, CA look for? The top searched job categories for Math Major jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Math Major jobs? Cities near Riverside, CA with the most Math Major job openings:
Math Major jobs near you
Infographic showing various Math Major job openings in Riverside, CA as of July 2026, with employment types broken down into 75% Full Time, and 25% Nights. Highlights an 100% In-person job distribution, with an average salary of $61,383 per year, or $29.5 per hour.
Data Scientist-Direct Hire

Data Scientist-Direct Hire

US Department of the Treasury

San Bernardino, CA

$74K/yr

Other

Posted 8 days ago

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

235th of 692 rated public administrative organizations

Job description

WHAT IS DATA AND ANALYTICS (DAO)-RESEARCH, APPLIED ANALYTICS & STATISTICS (RAAS)?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO - DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education with at least 30 semester hours related to Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
EDUCATION/SPECIALIZED EXPERIENCE FOR GS-11: In addition to meeting basic requirements, to be eligible for this position, you must have at least one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes: Applying descriptive or inferential statistical methods to analyze data, identify trends or patterns, evaluate results, and develop findings, reports, or recommendations; Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis; Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform); Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings; and Creating reports, dashboards, visualizations, written summaries, or presentations to communicate statistical or technical findings to technical or non-technical audiences.
OR
EDUCATION: You may substitute education for specialized experience as follows: A Ph.D. or equivalent doctoral degree as described in the basic requirements in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Three (3) full academic years of progressively higher-level graduate education leading to a PH.D or equivalent doctoral degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education.
SPECIALIZED EXPERIENCE GRADE 12: In addition to the basic requirements above, to be eligible for this position at the GS-12 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Planning and carrying out data analysis assignments by applying descriptive or inferential statistical methods to analyze data from multiple sources, validate results, identify trends or patterns, and develop findings, reports, or recommendations.
  • Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, validate, analyze, visualize, or document structured or unstructured data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, prescriptive analysis, or exploratory data analysis, to evaluate data, models, programs, or operations and make projections or recommendations.
  • Creating and presenting reports, dashboards, visualizations, written summaries, or presentations that explain statistical or technical methods, findings, limitations, or recommendations to managers, stakeholders, customers, or project teams.

SPECIALIZED EXPERIENCE GRADE 13: In addition to the basic requirements above, to be eligible for this position at the GS-13 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Independently planning and carrying out data science or statistical analysis projects by defining analytic questions, selecting data sources or methods, analyzing structured or unstructured data, validating results, and developing findings or recommendations.
  • Developing or applying statistical, machine learning, operations research, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, or exploratory data analysis.
  • Using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to prepare, transform, document, analyze, and visualize data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Documenting analytic approaches, assumptions, limitations, validation results, success measures, or key performance indicators, and presenting technical findings or recommendations to managers, stakeholders, customers, or cross-functional teams.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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