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Numerical Methods Jobs in Maryland (NOW HIRING)

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

... g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and ...

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

... g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and ...

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Numerical Methods information

See Maryland salary details

$26.7K

$55.1K

$58.7K

How much do numerical methods jobs pay per year?

As of Sep 12, 2026, the average yearly pay for numerical methods in Maryland is $55,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $57,700.00 per year, depending on experience, location, and employer.

What is a numerical methods job?

A Numerical Methods job involves developing, analyzing, and implementing algorithms to solve mathematical problems numerically. Professionals in this field work on optimizing computations for engineering, physics, finance, and other scientific applications. They use programming languages like Python, MATLAB, or C++ to create efficient and accurate numerical solutions. These jobs are common in industries such as aerospace, data science, and applied mathematics, where analytical models are essential for decision-making and simulations.

What are some common projects or problems handled by professionals specializing in numerical methods?

Professionals specializing in Numerical Methods typically work on projects involving the development and implementation of algorithms to solve mathematical models for engineering, physics, finance, or data science applications. Common responsibilities include simulating physical systems, optimizing processes, or analyzing large data sets using numerical techniques. These roles often involve close collaboration with engineers, scientists, or analysts to translate real-world problems into computational form and validate results against experimental data. The projects are diverse, providing ample opportunities to deepen expertise in both theoretical and practical aspects of numerical analysis.

What are the key skills and qualifications needed to thrive in the numerical methods position, and why are they important?

To thrive in a Numerical Methods role, a strong background in applied mathematics, computational modeling, and problem-solving is essential, often supported by a degree in mathematics, engineering, or a related field. Proficiency with programming languages such as MATLAB, Python, or FORTRAN, and experience with numerical analysis software, are commonly required. Analytical thinking, teamwork, and effective communication are vital soft skills to excel in this position. These competencies are crucial for accurately analyzing complex data and collaborating across multidisciplinary teams to develop reliable computational solutions.

What do numerical methods do?

Numerical methods are techniques used by professionals in computational fields to approximate solutions to mathematical problems that are difficult or impossible to solve analytically. They involve algorithms and software tools to perform calculations efficiently, often used in engineering, science, and data analysis to model and simulate real-world systems.

What are popular job titles related to Numerical Methods jobs in Maryland?

For Numerical Methods jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Numerical Methods jobs in Maryland look for?

The top searched job categories for Numerical Methods jobs in Maryland are:

Numerical Methods jobs near you
Infographic showing various Numerical Methods job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $55,052 per year, or $26.5 per hour.

Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIRED

Fort George G Meade, MD

Constellation Technologies, Inc
IT Services • 11 - 50 employees
Learn more about Constellation Technologies, Incexternal

$120K - $220K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Key responsibilities

  • Develop and implement qualitative and quantitative methods for analyzing large datasets.

  • Translate mission needs and analytic questions into technical requirements and assist others in data analysis.

  • Communicate complex technical information to non-technical audiences.

Job description

Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark.
 
Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.
 
 
Required:
  • Must be a US Citizen
  • Must have TS/SCI clearance w/ active polygraph
  • This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for:
  • Level 04 requires a minimum seventeen (17) years of experience w/ Degree
  • Level 03 requires a minimum twelve (12) years of experience w/ Degree
  • Level 02 requires a minimum five (05) years of experience w/ Degree
  • Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity.
  • Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations).
  • Devise strategies for extracting meaning and value from large datasets.
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
  • Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to Agency data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical information to non-technical audiences.
  • Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Agency collection, processing, storage and analytic capabilities and limitations.
These Qualifications Would be Nice to Have:
  • Fully Cleared polygraph is preferred
  • Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity.
  • Analytics in GME, Jupyter notebooks, and Spark.
The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
The benefits package:
 
• Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA
• Dental insurance with 100% employer paid premium
• Vision with 80% employer paid premium
• Employer paid Life insurance 100%
• Employer paid Short-term and Long-term disability 100%
• Annual training, continued education, and professional memberships reimbursement
• Unlimited access to Red Hat Enterprise Linux, AWS, and NetApp training and accreditation
• Annual reimbursement for technology i.e. phones, computers, printers, etc...
• 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment)
 
The environment and perks:
 
• Professional development investment and paid time off for training
• Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, California, Florida and Hawaii.
• Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers
• Leadership Team engagement and mentorship
• Performance Recognition Program
• Complimentary branded apparel
 
Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities.
 
Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000! Email cti-staffing@cti-md.com for more information.
 
Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI’s equal employment opportunity policy to cti-hr@cti-md.com.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.