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Applied Math Degree Jobs in Canton, GA (NOW HIRING)

Bachelor's degree in a STEMrelated field (e.g., statistics, applied math, computer science, engineering, business analytics) required; Advanced degree preferred. * 2+ years of professional experience ...

New

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field * Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field * Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ...

Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of ...

Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience * Eight or more years of relevant experience ...

Bachelor's and Master's degrees. Masters must be in one of the following fields: Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance ...

Advanced degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical discipline  * Experience with: * RF systems engineering and technologies in one or more of the ...

Bachelor's degree in a STEM-related field (e.g., statistics, applied math, computer science, engineering, business analytics) required; Advanced degree preferred. * 2+ years of professional ...

Advanced degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical discipline  * Experience with: * RF systems engineering and technologies in one or more of the ...

Advanced degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical discipline * Experience with: * RF systems engineering and technologies in one or more of the following ...

Advanced degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical discipline * Experience with: * RF systems engineering and technologies in one or more of the following ...

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field * Familiarity with cloud computing platforms (AWS, GCS, Azure) * Experience with automated ...

Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field * Familiarity with cloud computing platforms (AWS, GCS, Azure) * Experience with automated ...

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Applied Math Degree information

See Canton, GA salary details

$21.2K

$55.6K

$89.2K

How much do applied math degree jobs pay per year?

As of Aug 6, 2026, the average yearly pay for applied math degree in Canton, GA is $55,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $66,100.00 per year, depending on experience, location, and employer.

Is applied math in demand?

Applied math degrees are in demand across industries such as finance, data analysis, engineering, and technology, where skills in modeling, statistics, and programming are valued. Professionals with applied math expertise often find opportunities in research, analytics, and data-driven roles, with employment prospects continuing to grow as data utilization expands.

What is the difference between Applied Math Degree vs Data Analyst?

AspectApplied Math DegreeData Analyst
Required CredentialsBachelor's in Applied Math or related fieldBachelor's in Statistics, Math, or related field
Work EnvironmentResearch, academia, finance, engineeringBusiness, finance, healthcare, tech companies
Employer & Industry UsageUniversities, research labs, industries needing quantitative analysisCorporations, consulting firms, government agencies

Applied Math degrees focus on mathematical modeling and problem-solving across various industries, often involving research and theoretical work. Data Analysts primarily interpret data to help organizations make informed decisions, using statistical tools and software. While both roles require strong math skills, Applied Math graduates often pursue research or specialized roles, whereas Data Analysts work directly with data to generate insights in business settings.

Is an applied math degree useful?

An applied math degree is useful for careers in data analysis, finance, engineering, and technology, as it provides strong problem-solving, analytical, and quantitative skills. Graduates often find employment in industries that require modeling, statistical analysis, and computational tools, making the degree versatile and valuable across many fields.

What jobs do you get with applied math degree?

An applied math degree can lead to careers such as data analyst, operations researcher, financial analyst, actuary, or software developer. These roles often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software or modeling tools. Job opportunities are available across industries including finance, technology, healthcare, and government agencies.
What job categories do people searching Applied Math Degree jobs in Canton, GA look for? The top searched job categories for Applied Math Degree jobs in Canton, GA are:
What cities near Canton, GA are hiring for Applied Math Degree jobs? Cities near Canton, GA with the most Applied Math Degree job openings:
Infographic showing various Applied Math Degree job openings in Canton, GA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $55,553 per year, or $26.7 per hour.

Data Scientist - Atlanta, GA

Cortland

Atlanta, GA

Other

Posted 3 days ago

New


Cortland rating

8.4

Company rating: 8.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

38th of 201 rated real estate companies


Job description

Role Overview

As a Data Scientist, you'll design and deploy advanced analytics and machine learning solutions that address critical investment and operational challenges. Your work will transform complex data into scalable, productionready insights that drive smarter decisions and accelerate Cortland's growth.

  • Partner with business stakeholders to identify, prioritize, and deliver highvalue predictive and optimization use cases.
  • Design, build, and maintain machine learning and statistical models that support ongoing operational and investment strategies.
  • Collaborate with data and engineering teams to establish the infrastructure, pipelines, and processes required for production analytics.
  • Develop endtoend solutions, including model development, deployment, monitoring, and continuous improvement.
  • Leverage BI, GIS, and visualization tools to clearly communicate insights to technical and nontechnical audiences.
  • Serve as the technical lead for AI/agentic initiatives while educating the broader teams to effectively adopt.
  • Stay current on emerging data science tools, platforms, and methodologies, bringing relevant innovations into the organization.

Qualifications 

  • Bachelor's degree in a STEMrelated field (e.g., statistics, applied math, computer science, engineering, business analytics) required; Advanced degree preferred.
  • 2+ years of professional experience applying data science or advanced analytics in a business environment
  • Strong foundation in statistical modeling, machine learning, clustering, classification, recommendation systems, and optimization techniques
  • Proficiency in Python and SQL; experience with Spark, Scala, or similar tools is a plus
  • Working knowledge of cloud platforms and data ecosystems (AWS or Azure), including tools such as Databricks, EMR, RDS, and S3
  • Experience working with large, complex datasets and resolving performance or memory constraints
  • Solid business intuition with the ability to explain analytical approaches, tradeoffs, and outcomes clearly
  • Excellent communication skills, with the ability to present insights visually and tell a compelling datadriven story

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