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Remote Applied Mathematics Jobs in Georgia (NOW HIRING)

Billing Specialist

Atlanta, GA ยท Remote

$18.50 - $25/hr

Remote Reporting Structure: This position reports to the Billing Manager job summary: We are ... Strong mathematical skills with proficiency in Excel * Ability to manage multiple projects with ...

New

Pipeline Agency & Math: Taking full ownership of your revenue engine by managing 30-40+ active ... applied to every target. * Friction Removal: Navigating complex security and legal hurdles for ...

Remote Applied Mathematics information

See Georgia salary details

$15.9K

$60.2K

$144.3K

How much do remote applied mathematics jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote applied mathematics in Georgia is $60,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,511.00 and $77,417.00 per year, depending on experience, location, and employer.

Does the FBI hire mathematicians?

Yes, the FBI employs mathematicians in roles such as cryptanalysts, data analysts, and intelligence analysts. These positions often require strong analytical skills, a background in applied mathematics or related fields, and security clearances. Mathematicians in the FBI may work on code-breaking, data analysis, and threat assessment tasks.

What are some typical projects or problems addressed by professionals in Remote Applied Mathematics roles?

Professionals in Remote Applied Mathematics frequently tackle complex problems such as optimizing processes, developing statistical models, or analyzing large datasets to extract actionable insights for industries like finance, healthcare, or engineering. Their daily work often involves collaborating with multidisciplinary teams via virtual meetings, sharing research findings, and validating results through computational simulations or data analysis. Project scopes can range from short-term consultations to long-term research, allowing for significant variety and intellectual engagement. This dynamic environment enables applied mathematicians to make real-world impacts while building a versatile skill set relevant to a variety of sectors.

What is a Remote Applied Mathematics job?

A Remote Applied Mathematics job involves using mathematical theories and techniques to solve real-world problems in various industries while working from a remote location. Professionals in this field apply mathematical modeling, statistical analysis, and computational methods to fields like finance, engineering, data science, and operations research. They often collaborate with teams virtually, using digital tools to analyze data, develop algorithms, and optimize solutions. Strong problem-solving skills and proficiency in programming languages like Python, R, or MATLAB are commonly required. This role offers flexibility and allows mathematicians to contribute to diverse industries without being tied to a physical office.

Can mathematicians work remotely?

Mathematicians, including those in applied mathematics roles, can often work remotely, especially in research, data analysis, modeling, and software development. Remote work depends on the employer, job requirements, and the use of tools like programming languages and collaboration platforms. Many organizations offer flexible or fully remote positions for mathematicians with strong analytical and technical skills.

What are the key skills and qualifications needed to thrive in the Remote Applied Mathematics position, and why are they important?

To thrive in Remote Applied Mathematics, you need a solid background in mathematical modeling, statistical analysis, and problem-solving, usually substantiated by a degree in mathematics, applied math, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience using data analysis software is highly valued. Strong communication, self-motivation, and time management skills help remote professionals collaborate and meet project goals effectively. These combined abilities are crucial to deliver high-quality mathematical solutions and insights while working independently in a virtual environment.

What jobs can I do with applied mathematics?

Applied mathematics graduates can work as data analysts, quantitative analysts, operations researchers, or computational scientists. These roles often require strong problem-solving skills, proficiency in programming languages like Python or MATLAB, and knowledge of statistical methods. They are common in industries such as finance, technology, engineering, and research institutions.

Is applied math in demand?

Applied mathematics is in high demand across industries such as finance, engineering, data science, and technology, where analytical and problem-solving skills are essential. Professionals with expertise in modeling, algorithms, and programming tools like MATLAB or Python are especially sought after, and job growth in these fields remains strong.
What are the most commonly searched types of Applied Mathematics jobs in Georgia? The most popular types of Applied Mathematics jobs in Georgia are:
What are popular job titles related to Remote Applied Mathematics jobs in Georgia? For Remote Applied Mathematics jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Applied Mathematics jobs in Georgia look for? The top searched job categories for Remote Applied Mathematics jobs in Georgia are:
What cities in Georgia are hiring for Remote Applied Mathematics jobs? Cities in Georgia with the most Remote Applied Mathematics job openings:
Infographic showing various Remote Applied Mathematics job openings in Georgia as of July 2026, with employment types broken down into 77% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $60,198 per year, or $28.9 per hour.
Senior Algorithm & Signal Processing Researcher

Senior Algorithm & Signal Processing Researcher

STR

Atlanta, GA โ€ข On-site, Remote

$139K - $170K/yr

Other

Posted 20 days ago


Job description

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security requirements. Our particular focus areas include airborne/spaceborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation.

The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar modes, skills and applications, with particular emphasis on advanced signal processing chains and associated algorithm research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs.

About the Role:

As a Senior Algorithm and Signal Processing Engineer, you will develop, implement, test, and demonstrate novel signal processing, optimization, and machine learning algorithms for advanced electronic warfare, radar, and remote sensing applications. You will work as part of multidisciplinary teams to research next-generation sensing concepts and transition advanced algorithms into integrated systems for laboratory and field demonstrations.

A successful candidate will have expertise in one or more of the following areas: signal processing, adaptive radar signal processing, optimization, machine learning, electronic warfare, algorithm development, radar systems, communications systems, RF remote sensing, resource management, modeling and simulation, or related technical fields. This position requires strong analytical skills, scientific programming experience, and the ability to collaborate with researchers, engineers, and customers to solve challenging technical problems.

What You Will Do

  • Develop advanced sensing concepts, signal processing algorithms, and machine learning techniques for radar, electronic warfare, and remote sensing applications
  • Research, design, implement, and evaluate novel algorithms from concept through demonstration
  • Collaborate with multidisciplinary teams to architect, develop, integrate, and test advanced RF signal processing systems
  • Support modeling and simulation activities to evaluate algorithm performance and inform system design
  • Plan and execute laboratory and field testing to assess algorithm performance and transition research into operational prototypes.
  • Contribute to technical proposals, customer interactions, presentations, and technical briefings
  • Survey emerging research and incorporate state-of-the-art techniques into practical algorithm solutions.

Who You Are

  • Ability to obtain and maintain a Top Secret security clearance, for which U.S. citizenship is required by the U.S. government
  • PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, Computer Engineering, Computer Science, or a related technical discipline with 2-5+ years relevant experience
  • Strong programming skills in MATLAB, Python, C/C++, or similar scientific computing languages
  • Strong mathematical, analytical, troubleshooting, written, and verbal communication skills
  • Experience developing, implementing, testing, or analyzing signal processing, optimization, or machine learning algorithms
  • Ability to communicate complex technical concepts to both technical and non-technical audiences
  • Ability to translate research objectives and customer needs into practical technical solutions

Even Better

  • Active Top Secret security clearance
  • Experience with radar systems, RF remote sensing, electronic warfare, or communications systems
  • Experience with adaptive signal processing, waveform design, multidimensional signal processing, resource management, or system optimization
  • Experience developing algorithms for real-time or embedded systems
  • Experience with modeling and simulation, algorithm integration, and system test and evaluation
  • Experience with software development and scientific computing workflows
  • Ability to survey technical literature, identify emerging approaches, and transition research into integrated, tested solutions

Pay Information
Full-Time Salary Range: $139,000 - $170,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.