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Mathematical Jobs in Silver Spring, MD (NOW HIRING)

US Department of the Navy

MATHEMATICIAN

Washington, DC · On-site

$102K/yr

Experience applying professional knowledge of mathematical concepts, theories, principles, and practices applicable to the design construction, analysis, and maintenance of precise time and time ...

US Department of the Navy

MATHEMATICIAN

Washington, DC · On-site

$102K/yr

Experience applying professional knowledge of mathematical concepts, theories, principles, and practices applicable to the design construction, analysis, and maintenance of precise time and time ...

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Showing results 21-40

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 Sep 4, 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 is a mathematical job?

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 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 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 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 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
Infographic showing various Mathematical job openings in Silver Spring, MD as of August 2026, with employment types broken down into 73% Full Time, 26% Part Time, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $58,639 per year, or $28.2 per hour.

Post doctoral researcher in Mathematics or Statistics

University of Maryland Baltimore County

Baltimore, MD • On-site

Full-time

Re-posted 21 days ago

Job description

Description
The Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) has an opening for a postdoctoral scholar position, starting in fall 2025, preferably with an interest or focus on "Applied Mathematics or Statistics, in particular relating to data science applications".
The appointment is for a fixed term, but renewable upon satisfactory performance and funding availability. Candidates should have finished their Ph.D. in applied mathematics, statistics, biostatistics, machine learning or a related field before their appointment start date. Successful candidates are expected to carry out research, collaborate with faculty members, apply for external funding, and teach courses.
Qualifications
Candidates in all areas of applied mathematics and statistics may apply. Our interests include but are not limited to analysis and computation of partial differential equations and applications; stochastic processes and applications (e.g. mathematical biology, data science); mathematical biology with modeling and analysis of cellular dynamics (e.g. clustered cell migration, neuromechanical locomotion, network synchronization), parameter estimation (e.g. in epidemiological spread, chemical reaction networks), emergent behavior (e.g. flocking, swarming); optimization theory and numerical optimization with applications to data science; high-dimensional statistics; Bayesian statistics; resampling techniques; digital twins; uncertainty quantification; statistical process control; foundations of machine learning and artificial intelligence; statistical applications to biomedical problems and precision medicine.
Application Instructions
Applicants should apply using: http://apply.interfolio.com/158844
Applicants should submit (a) a cover letter; (b) a curriculum vitae that includes publications; (c) a description of research interests and research plans; (d) a brief teaching statement; (e) a statement of commitment to inclusive excellence; and (e) have at least three letters of recommendation submitted on their behalf.

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