1

Applied Math Jobs in Charlotte, NC (NOW HIRING)

Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred Special Factors Sponsorship ...

Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred Special Factors Sponsorship ...

Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the ...

Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the ...

Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the ...

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

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

Showing results 21-40

Applied Math information

See Charlotte, NC salary details

$22K

$57.5K

$92.3K

How much do applied math jobs pay per year?

As of Aug 21, 2026, the average yearly pay for applied math in Charlotte, NC is $57,467.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $68,400.00 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 Charlotte, NC?

For Applied Math jobs in Charlotte, NC, the most frequently searched job titles are:

What cities near Charlotte, NC are hiring for Applied Math jobs?

Cities near Charlotte, NC with the most Applied Math job openings:

Infographic showing various Applied Math job openings in Charlotte, NC as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $57,467 per year, or $27.6 per hour.

Senior Applied AI Scientist - Multimodal & Computer Vision

The Hartford

Charlotte, NC • Hybrid

$110K - $166K/yr

Full-time

Re-posted 16 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

56th of 311 rated insurance


Job description

Sr Data Scientist - GD07AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day not only at work, but at home and in the community too. If that sounds like you, then you've landed in the right place.

Emerging Tech and Innovation is a forward-looking team at The Hartford. We explore the frontier of AI by experimenting with emerging technologies, evaluating cutting-edge vendors, and rapidly prototyping solutions that can transform the insurance landscape.

We are seeking aSenior Data Scientistwith deep expertise in computer vision and a passion for experimentation. This role is ideal for someone who thrives in early-stage R&D environments, enjoys working with novel data modalities, and is excited by the challenge of translating emerging capabilities into business value. You'll collaborate closely with other data science and engineering teams, often handing off successful prototypes for production scaling.

Key Focus Areas

This position will build domain expertise in areas such as:

Multimodal generative AI, including image-text models

Rapid experimentationandproof-of-concept development

Vendor and technology evaluationsin the AI/ML space

Responsibilities

  • Design and prototype machine learning models for image and video data, with a focus on insurance-relevant use cases.
  • Evaluate emerging technologies and vendors, providing technical assessments and recommendations.
  • Collaborate with business stakeholders to identify high-impact opportunities for AI innovation.
  • Translate ambiguous problems into structured experiments and communicate findings clearly.
  • Partner with engineering and data science teams to transition successful prototypes into production-ready solutions.
  • Stay current on the latest research and trends in AI, computer vision, and generative models.
  • Mentor junior team members and contribute to a culture of curiosity and continuous learning.

What's in it for you?

  • Work on cutting-edge AI problems in a highly exploratory environment.
  • Collaborate with a high-performing, forward-focused team and engage with product owners and business stakeholders.
  • Expand your technical and strategic skills in a role that blends research, experimentation, and business impact.
  • Influence the future of AI at The Hartford by shaping how new technologies are evaluated and adopted.
  • Thrive in a supportive environment that values innovation, agility, and growth.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Qualifications:

  • Master's or PhD in a quantitative field such as Data Science, Computer Science, Statistics, Applied Mathematics, or Engineering. A Bachelor's with additional years of relevant experience can substitute for an advanced degree.
  • 5+ years of experience in data science, machine learning, or a related field.
  • Proficiency in Python and SQL; experience with cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of statistical modeling, machine learning, and data visualization techniques.
  • Excellent problem-solving skills and ability to work independently and collaboratively.
  • Strong communication skills with the ability to present complex ideas to diverse audiences.
  • Self-motivated, strong sense of ownership/accountability, and results oriented with the ability to manage time and schedules effectively
  • Natural curiosity with a strong desire to learn, maintain, and apply knowledge of emerging data technologies

Desired Qualifications:

  • Experience with Computer Vision, Convolutional Neural Networks(CNN), Multimodal GEN AI a plus
  • Familiarity with Agile and CI/CD practices.
  • Experience in innovation and rapid prototyping with a "fail-fast" mindset.
  • Knowledge of Property & Casualty Insurance business is a plus.

Candidate must be authorized to work in the US without company sponsorship.The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$110,720 - $166,080

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits


What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

Social media