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

Smarsh

Lead Data Scientist

Atlanta, GA

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 ...

R2 Technologies Corporation

Data Analyst

Alpharetta, GA · On-site

Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field. * 3 years of experience applying data science, AI/machine learning, or analytics techniques to business ...

Truist

Decision Scientist III

Atlanta, GA

$86K - $115K/yr

... degree or equivalent education and related training or experience and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or ...

Truist

Decision Scientist III

Atlanta, GA · On-site

... degree or equivalent education and related training or experience and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or ...

Truist

Decision Scientist III

Atlanta, GA

$104K - $130K/yr

... degree or equivalent education and related training or experience and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or ...

Truist

Decision Scientist III

Atlanta, GA · On-site

... degree or equivalent education and related training or experience and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or ...

Truist

Decision Scientist III

Atlanta, GA · On-site

... degree or equivalent education and related training or experience and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or ...

STEMtech

Sr. Data Scientist

Atlanta, GA

Master's degree or other advanced degree in information technology, computer science, data science ... Understanding of advanced applied mathematics in AA, artificial intelligence and array operations

STEMtech

Sr. Data Scientist

Atlanta, GA · On-site

Master's degree or other advanced degree in information technology, computer science, data science ... Understanding of advanced applied mathematics in AA, artificial intelligence and array operations

Rheem

Research Engineer III

Roswell, GA · On-site

Master's / PhD degree in Engineering, Applied Physics, or Applied Mathematics * 3+ years of experience in the analysis, modeling, optimization, and practical application of combustion CFD simulations ...

Rheem

Research Engineer III

Roswell, GA · Hybrid

Master's / PhD degree in Engineering, Applied Physics, or Applied Mathematics * 3+ years of experience in the analysis, modeling, optimization, and practical application of combustion CFD simulations ...

Kaizen Analytix LLC

Engagement Lead

Atlanta, GA · On-site

Bachelors or Masters degree in Business Analytics, Industrial Engineering, Econometrics, Computer Science, Operations Research, Data Science or other Applied Mathematical Discipline; MBA is a plus ...

Pwc

Risk Modeling Services P&C - Director

Atlanta, GA · On-site

$134K - $410K/yr

... Degree in Actuarial Science, Applied Mathematics, Mathematical Statistics, Mathematics, Statistics, Economics - At least 8 years of experience - Fellow of the Casualty Actuarial Society What Sets You ...

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Showing results 21-40

All JobsApplied Math Degree JobsApplied Math Degree Jobs in Canton, GA

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 7, 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:
Applied Math Degree jobs near you
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.

Lead Data Scientist

Smarsh

Atlanta, GA

Full-time

Re-posted 21 days ago

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary
 
As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You'll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk.
 
The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior-including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis.
 
This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.
How will you contribute?
  • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms.
  • Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication).
  • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
  • Data annotation and quality review 
  • Exploratory data analysis and model fail state analysis 
  • Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards.
  • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes
  • Provide guidance to junior team members on model development and EDA
  • Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team's tooling, technique and procedures
  • Continued self-led personal development
What will you bring?
  • Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology
  • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
  • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...)
  • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming)
  • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc...)
  • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.)
  • Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo
  • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
  • Familiarity with Deep Learning techniques for NLP.
  • Familiarity with LLMs - using ollama & Langchain
  • Excellent verbal and written skills
  • Proven collaborator, thriving on teamwork
 
Preferred Qualifications
  • 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 supervision/surveillance/compliance tools
$166,000 - $214,000 a year
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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