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Applied Math Jobs in Frederick, MD (NOW HIRING)

Axle

AI/ML Scientist/Developer

Frederick, MD · On-site

Required : • Candidates must possess a Master's degree or PhD in computer science, engineering, applied mathematics, or a related field with demonstrated experience in AI/ML model development. • ...

Varsity Tutors

Differential Equations Tutor

Rockville, MD · Remote

$18 - $40/hr

Ability to explain solution techniques, equilibrium analysis, and stability while preparing students for engineering, physics, and applied mathematics applications. * Conceptual Teaching & Problem ...

Varsity Tutors

Differential Equations Tutor

Leesburg, VA · Remote

$18 - $40/hr

Ability to explain solution techniques, equilibrium analysis, and stability while preparing students for engineering, physics, and applied mathematics applications. * Conceptual Teaching & Problem ...

Quantum Space

Image Processing Engineer III

Rockville, MD · On-site

$140K - $185K/yr

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, Aerospace Engineering, or a related technical field. An advanced degree (M.S. or Ph.

Lucky Strike Entertainment

Mechanic

Leesburg, VA

$18 - $20/hr

High School Diploma with a strong emphasis on algebra, geometry, and applied mathematics (Optional) * Excellent communication skills * Ability to train new mechanics * Availability to work nights ...

Merck Group

Data Scientist

Rockville, MD · On-site

$95K - $142K/yr

Bachelor's degree in Data Science, Computer Science, or other information technology discipline OR Statistics, Applied Mathematics, or other mathematics discipline. * 3+ years of experience in data ...

Lucky Strike

Mechanic

Leesburg, VA · On-site

$18 - $20/hr

High School Diploma with a strong emphasis on algebra, geometry, and applied mathematics (Optional) * Excellent communication skills * Ability to train new mechanics * Availability to work nights ...

Lucky Strike

Mechanic

Leesburg, VA

$18 - $20/hr

High School Diploma with a strong emphasis on algebra, geometry, and applied mathematics (Optional) * Excellent communication skills * Ability to train new mechanics * Availability to work nights ...

Lucky Strike

Mechanic

Leesburg, VA · On-site

$18 - $20/hr

High School Diploma with a strong emphasis on algebra, geometry, and applied mathematics (Optional) * Excellent communication skills * Ability to train new mechanics * Availability to work nights ...

Lucky Strike

Mechanic

Leesburg, VA · On-site

$18 - $20/hr

High School Diploma with a strong emphasis on algebra, geometry, and applied mathematics (Optional) * Excellent communication skills * Ability to train new mechanics * Availability to work nights ...

Lucky Strike

Mechanic

Leesburg, VA · On-site

$18 - $20/hr

High School Diploma with a strong emphasis on algebra, geometry, and applied mathematics (Optional) * Excellent communication skills * Ability to train new mechanics * Availability to work nights ...

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Showing results 21-40

All JobsApplied Math JobsApplied Math Jobs in Frederick, MD

Applied Math information

See Frederick, MD salary details

$22.4K

$58.5K

$94K

How much do applied math jobs pay per year?

As of Aug 18, 2026, the average yearly pay for applied math in Frederick, MD is $58,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $69,600.00 per year, depending on experience, location, and employer.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What to do with a degree in applied math?

A degree in applied math 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 utilizing tools like MATLAB, Python, or R. Graduates can work in industries including finance, technology, engineering, and consulting.

What are popular job titles related to Applied Math jobs in Frederick, MD?

For Applied Math jobs in Frederick, MD, the most frequently searched job titles are:

Applied Math jobs near you
Infographic showing various Applied Math job openings in Frederick, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $58,500 per year, or $28.1 per hour.

AI/ML Scientist/Developer

Axle

Frederick, MD • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications. They are seeking an AI/ML Scientist/Developer to develop innovative computational models to predict and optimize organoid growth and differentiation protocols.
Responsibilities:
• The successful candidate will design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
• They will develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.
• The role involves creating feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.
• Collaboration with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets will be essential components of this position.
Qualifications:
Required:
• Candidates must possess a Master's degree or PhD in computer science, engineering, applied mathematics, or a related field with demonstrated experience in AI/ML model development.
• Strong programming skills in Python, R, or similar languages are required, along with experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and biological data types.
Preferred:
• Experience with organoid systems or tissue engineering applications is highly desirable.
• Knowledge of differential equations, systems biology modeling, and experience with deep learning approaches for biological applications will be considered strong assets.
• Familiarity with cloud computing platforms and containerization technologies is preferred.
Company:
At Axle, we are driven by the mission to accelerate discovery and enhance organizational outcomes by revolutionizing operations with our innovative solutions. Founded in 2002, the company is headquartered in Rockville, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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