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Mathematical Jobs in Silver Spring, MD (NOW HIRING)

Guidehouse

Mathematical Statistician

Bethesda, MD

$130K - $216K/yr

We are currently searching for Mathematical Statistician to support the overall operational objectives of the National Heart, Lung, and Blood Institute (NHLBI) through the provision of support ...

Guidehouse

Mathematical Statistician

Bethesda, MD · On-site

$130K - $216K/yr

We are currently searching for Mathematical Statistician to support the overall operational objectives of the National Heart, Lung, and Blood Institute (NHLBI) through the provision of support ...

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All JobsMathematical JobsMathematical Jobs in Silver Spring, MD

Mathematical information

See Silver Spring, MD salary details

$28.4K

$58.6K

$62.5K

How much do mathematical jobs pay per year?

As of Jun 9, 2026, the average yearly pay for mathematical in Silver Spring, MD is $58,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $61,500.00 per year, depending on experience, location, and employer.

What types of projects do professionals in mathematical roles typically work on, and how do they collaborate with other departments?

Professionals in mathematical roles often engage in projects involving statistical analysis, data modeling, algorithm development, or quantitative research, depending on the industry. They frequently collaborate with teams from engineering, finance, IT, or scientific research to interpret data, solve complex problems, and optimize processes. Effective communication is essential, as they must translate mathematical findings into actionable insights for non-specialist stakeholders. This interdisciplinary teamwork not only enriches the work environment but also provides opportunities to broaden expertise and contribute to impactful organizational decisions.

What is the difference between Mathematical vs Data Analyst?

AspectMathematicalData Analyst
Required CredentialsMathematical degrees, certifications in applied mathematics or statisticsBachelor's in statistics, mathematics, or related field; certifications like SQL, Excel, or data visualization tools
Work EnvironmentResearch labs, academia, or industries requiring theoretical modelingBusiness settings, tech companies, finance, healthcare
Industry UsageResearch, academia, advanced analyticsBusiness intelligence, reporting, data interpretation
Common Search/ComparisonMathematical vs Data Analyst

Mathematical roles focus on theoretical and applied mathematics, often in research or academia, requiring advanced degrees. Data Analysts primarily work with data collection, analysis, and visualization in business environments, often with a bachelor's degree and specific data tools. While both roles involve data and analysis, Mathematical positions emphasize mathematical theory, whereas Data Analysts focus on practical data insights for decision-making.

What are mathematical jobs?

Mathematical jobs are careers that involve the application of mathematical theories, techniques, and computational methods to solve problems in a wide variety of fields such as finance, engineering, data analysis, research, and education. Professionals in these roles may work as mathematicians, statisticians, data scientists, actuaries, or mathematical analysts. These jobs often require strong analytical skills, proficiency in mathematical modeling, and the ability to interpret complex data. Mathematical jobs can be found in both the public and private sectors, including government agencies, academic institutions, technology companies, and financial organizations.

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

To thrive as a Mathematician, you need strong analytical and problem-solving skills, advanced mathematical knowledge, and typically a graduate degree in mathematics or a related field. Familiarity with statistical analysis software, programming languages like Python or MATLAB, and mathematical modeling tools is highly valued. Excellent logical reasoning, attention to detail, and effective communication skills help convey complex ideas and work collaboratively. These competencies are crucial for solving theoretical and practical problems, driving innovation, and supporting data-driven decision-making across industries.
What are popular job titles related to Mathematical jobs in Silver Spring, MD? For Mathematical jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Mathematical jobs in Silver Spring, MD look for? The top searched job categories for Mathematical jobs in Silver Spring, MD are:
Mathematical jobs near you

Mathematical Statistician

U.S. Department of Agriculture (USDA)

Washington, DC

$169K/yr

Other

Posted 4 days ago

Job description

In this position, you will serve as a senior leader responsible for directing statistical governance, compliance, and innovation initiatives. This includes oversight of advanced methodologies, risk assessment, and representation of NASS in international statistical forums.Qualifications:Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including time-in-grade restrictions, specialized experience and/or education, as defined below.
Time in grade: Applicants must have one year of specialized experience at the next lower grade to be considered for the next higher grade (One year at the GS-14 grade level for consideration for the GS-15 grade level).
Basic Requirements:

A. Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.
OR
B. Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education.


Evaluation of Education:
Courses acceptable toward meeting the mathematics course requirement of paragraphs A or B above must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite. Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement.
Evaluation of Experience:

The experience offered in combination with educational courses to meet the requirements in paragraph B above should include evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

Without other indications of statistical experience, work required in the processing of numerical or quantified information by other than statistical methods is not considered appropriate qualifying experience. Examples of such nonqualifying work include statistical clerical work; statistical drafting; calculation of totals, averages, percentages, or other arithmetic summations; preparation of simple tables or charts; or verification of data by simple comparison or proofreading.
In addition to meeting the basic requirements described above, applicants must also meet additional qualification requirements as stated below.
Specialized Experience: Specialized experience is experience directly related to the position to be filled. Specialized experience must be described for each grade level advertised. The specialized experience requirements for this position are: Qualifying experience for GS-15 includes one year of specialized experience comparable to the GS-14 which is directly related to the work of this position and which has equipped the applicant with the knowledge, skills, and abilities to perform, successfully, the duties of the position. For this position, specialized experience is the experience of providing expert technical guidance and leading advanced statistical research and modernization efforts; directing, assigning, and evaluating the workforce while ensuring compliance with EEO policies; and representing the organization in international partnerships to promote best practices and knowledge exchange. Also the ability to lead and accomplish work through others (i.e. team building, conflict management, cultural awareness, strategic thinking, technology management, and political savvy.) and the ability to communicate with individuals or groups from diverse backgrounds in a variety of situations.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Please see above for education qualification requirement information.Employment Type: OTHER

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