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Applied Math Degree Jobs in Vermont (NOW HIRING)

Agilent

Manufacturing Operator

Winooski, VT · On-site

$19 - $27.64/hr

We provide life science, diagnostic and applied market laboratories worldwide with instruments ... High school-level math skills are a plus. * Previous experience in electromechanical assembly/test ...

Agilent

Manufacturing Operator

Winooski, VT

$27.64/hr

We provide life science, diagnostic and applied market laboratories worldwide with instruments ... High school-level math skills are a plus. * Previous experience in electromechanical assembly/test ...

Agilent

$27.64/hr

We provide life science, diagnostic and applied market laboratories worldwide with instruments ... High school-level math skills are a plus. * Previous experience in electromechanical assembly/test ...

Agilent

Manufacturing Operator

Winooski, VT · On-site

$19 - $27.64/hr

We provide life science, diagnostic and applied market laboratories worldwide with instruments ... High school-level math skills are a plus. * Previous experience in electromechanical assembly/test ...

Agilent

Manufacturing Operator

Winooski, VT · On-site

$19 - $27.64/hr

We provide life science, diagnostic and applied market laboratories worldwide with instruments ... High school-level math skills are a plus. * Previous experience in electromechanical assembly/test ...

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All JobsApplied Math Degree JobsApplied Math Degree Jobs in Vermont

Applied Math Degree information

See Vermont salary details

$23.9K

$62.6K

$100.5K

How much do applied math degree jobs pay per year?

As of Jul 5, 2026, the average yearly pay for applied math degree in Vermont is $62,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $74,400.00 per year, depending on experience, location, and employer.

What do applied mathematicians actually do?

Applied mathematicians use mathematical techniques and models to solve real-world problems across various industries such as engineering, finance, healthcare, and technology. They analyze data, develop algorithms, and create simulations to optimize processes, inform decision-making, and improve systems. Proficiency in programming, statistical analysis, and problem-solving are essential skills in this role.

Is applied math in demand?

Applied math degrees are in demand across industries such as finance, data analysis, engineering, and technology, where skills in modeling, statistics, and programming are valued. Professionals with this background often find opportunities in research, analytics, and technical roles that require quantitative problem-solving. The demand is expected to grow as data-driven decision-making becomes increasingly important in various sectors.

What can I do with a degree in applied maths?

A degree in applied mathematics prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often using tools like MATLAB, Python, or R, and can lead to careers in finance, technology, engineering, or research organizations.

What is the difference between Applied Math Degree vs Data Analyst?

AspectApplied Math DegreeData Analyst
Required CredentialsBachelor's in Applied Math or related fieldBachelor's in Statistics, Math, or related field
Work EnvironmentResearch, academia, finance, engineeringBusiness, finance, healthcare, tech companies
Employer & Industry UsageUniversities, research labs, industries needing quantitative analysisCorporations, consulting firms, government agencies

Applied Math degrees focus on mathematical modeling and problem-solving across various industries, often involving research and theoretical work. Data Analysts primarily interpret data to help organizations make informed decisions, using statistical tools and software. While both roles require strong math skills, Applied Math graduates often pursue research or specialized roles, whereas Data Analysts work directly with data to generate insights in business settings.

Is an applied math degree useful?

An applied math degree is useful for careers in data analysis, finance, engineering, and technology, as it provides strong problem-solving, analytical, and quantitative skills. Graduates often find opportunities in industries that require modeling, statistical analysis, and computational tools, making it a versatile degree for various technical roles.
What are popular job titles related to Applied Math Degree jobs in Vermont? For Applied Math Degree jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Applied Math Degree jobs in Vermont look for? The top searched job categories for Applied Math Degree jobs in Vermont are:
What cities in Vermont are hiring for Applied Math Degree jobs? Cities in Vermont with the most Applied Math Degree job openings:
Applied Math Degree jobs near you

Data Scientist-Direct Hire-6-Month Register

Criminal Investigation & Law Enforcement | IRS Careers

Burlington, VT • On-site

$125K/yr

Other

Posted 4 days ago

Job description

WHAT IS DATA AND ANALYTICS (DA)-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 REQUIRMENTS: 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: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, 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, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
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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