How is Mathematics used?
Zippia reviewed thousands of resumes to understand how mathematics is used in different jobs. Explore the list of common job responsibilities related to mathematics below:
- Assisted in homework completion and advancing reading comprehension and mathematics skills.
- Used my mathematics and reading skills to teach new and exciting ways for children of special needs to learn differently.
- Provided assistance to students in first and second grade in the development of mathematics and reading skills.
- Provide homework guidance, reinforcing the learning of basic concepts and study skills; Specialization in basic mathematics
- Worked with groups of 6-8 highs students developing their skills in mathematics and computers.
- Tutor children in various subjects of Mathematics and English to achieve higher test scores.
Are Mathematics skills in demand?
Yes, mathematics skills are in demand today. Currently, 42,374 job openings list mathematics skills as a requirement. The job descriptions that most frequently include mathematics skills are children's tutor, student teacher assistant, and teacher's assistant and tutor.
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What jobs can you get with Mathematics skills?
You can get a job as a children's tutor, student teacher assistant, and teacher's assistant and tutor with mathematics skills. After analyzing resumes and job postings, we identified these as the most common job titles for candidates with mathematics skills.
Student Teacher Assistant
- CPR
- Mathematics
- Art Projects
- Pre-K
- Classroom Management
- Educational Programs
Teacher's Assistant And Tutor
- Math
- Mathematics
- Administration Policies
- Label Materials
- Chemistry
- Language Arts
America Reads Tutor
- Math
- Mathematics
- Kindergarten
- Elementary Schools
- Language Arts
- Classroom Management
Volunteer Teacher Assistant
- Mathematics
- Art Projects
- Group Lessons
- Classroom Management
- Learning Environment
- Social Development
Tutor Coordinator
- Mathematics
- Math
- Academic Support
- Student Athletes
- Chemistry
- Language Arts
Tutor/Mentor
Job description:
Tutors and mentors are two different teaching jobs. Tutors oversee helping students understand varied subjects, assessing as well as encouraging them during the learning process. On the other hand, mentors go far beyond the role of tutors. They are wise and trusted counselors who help students get the motivation they need to advance in their chosen careers. Also, they share with their mentees their career paths, act as their role model, as well as provide guidance and emotional support.
- Math
- Mathematics
- Homework Assignments
- Mentoring Students
- Role Model
- Study
Charter
Job description:
Charters are the people who observe horse races, describe race call outs, and record statistical data of the race to use for publication. They use a formula to compute race completion times for all except for winning horses. Their binoculars are used during a race to view distance markers along the tracks and call out the horses' numbers, positions, and related data for other workers to record. They must have good communication skills, computer skills, and a good understanding of the horse racing industry.
- Strong Customer Service
- Mathematics
- School Programming
- RAN
- Social Studies
- Classroom Management
Private Tutor
Job description:
A private tutor is responsible for teaching students, usually in a home setting, within their proposed availability. Private tutors develop effective learning methods for the students' easy comprehension, utilize multiple learning resources, evaluate students' learning by giving activities, identifying areas of improvement, and monitoring the student's progress every session. Private tutors must be highly-knowledgeable of their subject areas to share learning techniques and assist the students with homework and other academic tasks. They must have excellent communication skills in responding to the students' inquiries and concerns to develop their comprehension.
- Mathematics
- Math
- GRE
- Language
- Organic Chemistry
- Grammar
Classroom Assistant
Job description:
A classroom assistant is responsible for monitoring the class activities and the students' learning progress under the command of a head instructor. Classroom assistants help the teachers in conducting engaging learning activities, creating comprehensive lesson plans, and gathering educational materials to support the students' needs. They take the initiative on observing the class when the teacher is away, leaving them activities to work on as the teacher instructed. A classroom assistant must have excellent communication and organization skills, as they also serve as a liaison between the students and the teacher for inquiries and concerns.
- CPR
- Mathematics
- Photocopying
- IEP
- Homework Assignments
- Child Care
Teaching Instructor
- Mathematics
- Political Science
- Lab Reports
- Course Curriculum
- Fine Arts
- Undergraduate Courses
Kindergarten Paraprofessional
- Math
- Mathematics
- Instructional Materials
- Classroom Management
- Behavior Management
- Bulletin Boards
Teacher Internship
Job description:
Teaching interns are individuals who assist teachers and educators in the classroom. The interns are instructed to fulfill the tasks set out and provided by the supervisors for them. They take part in meetings and jot down their minutes. It is part of their job to conduct research at the request of the supervisor. They make updates to social media platforms and make posts. Also, they create images to be used in posts through different social media platforms.
- Mathematics
- Classroom Management Strategies
- Language Arts
- Professional Development
- Learning Styles
- Social Studies
Classroom Volunteer
- Math
- Mathematics
- Kindergarten
- Language Arts
- Classroom Management
- Grade Class
Interrelated Special Education Teacher
- Mathematics
- Math
- Language Arts
- IEPs
- Education Programs
- Classroom Environment
GED Teacher
- Classroom Management
- Math
- Mathematics
- Social Studies
- Language Arts
- Curriculum Frameworks
How much can you earn with Mathematics skills?
You can earn up to $34,162 a year with mathematics skills if you become a children's tutor, the highest-paying job that requires mathematics skills. Student teacher assistants can earn the second-highest salary among jobs that use Python, $27,992 a year.
Job Title  | Average Salary | Hourly Rate |
|---|---|---|
| Children's Tutor | $34,162 | $16 |
| Student Teacher Assistant | $27,992 | $13 |
| Teacher's Assistant And Tutor | $25,056 | $12 |
| America Reads Tutor | $24,653 | $12 |
| Volunteer Teacher Assistant | $27,869 | $13 |
Companies using Mathematics in 2025
The top companies that look for employees with mathematics skills are Navy Mutual, Claire's, and Raytheon Technologies. In the millions of job postings we reviewed, these companies mention mathematics skills most frequently.
| Rank | Company | % Of All Skills | Job Openings |
|---|---|---|---|
| 1 | Navy Mutual | 12% | 2 |
| 2 | Claire's | 10% | 1,196 |
| 3 | Raytheon Technologies | 9% | 128 |
| 4 | Army National Guard | 9% | 15 |
| 5 | U.S. Department of the Treasury | 9% | 0 |
20 courses for Mathematics skills
1. Mathematics for Engineers
This specialization was developed for engineering students to self-study engineering mathematics. We expect students to already be familiar with single variable calculus and computer programming. Through this specialization, students will learn matrix algebra, differential equations, vector calculus, numerical methods, and MATLAB programming. This will provide them with the tools to effectively apply mathematics to engineering problems and be well-equipped to pursue a degree in engineering. To get a better understanding of what this specialization has to offer, be sure to watch the Promotional Video!...
2. SQL Mathematical Functions
Welcome to this project-based course, SQL Mathematical Functions. In this project, you will learn how to use SQL Mathematical Functions to manipulate tables in a database. By the end of this 2-hour-long project, you will be able to use different Mathematical Functions to retrieve the desired result from a database. In this project, you will learn how to use SQL Mathematical Functions like CEIL(), FLOOR(), RANDOM(), SETSEED(), ROUND(), TRUNC(), SQRT(), CBRT(), and POWER() to manipulate data in the employees database. In this project, we will move systematically by first introducing the functions using a simple example. Then, we will write slightly complex queries using the Mathematical Functions in real-life applications. Also, for this hands-on project, we will use PostgreSQL as our preferred database management system (DBMS). Therefore, to complete this project, it is required that you have prior experience with using PostgreSQL. Similarly, this project is an intermediate SQL concept; so, a good foundation for writing SQL queries is vital to complete this project. If you are not familiar with writing queries in SQL and want to learn these concepts, start with my previous guided projects titled “Querying Databases using SQL SELECT statement," and “Performing Data Aggregation using SQL Aggregate Functions.” I taught these guided projects using PostgreSQL. So, taking these projects will give the needed requisite to complete this SQL Mathematical Functions project. However, if you are comfortable writing queries in PostgreSQL, please join me on this wonderful ride! Let’s get our hands dirty!...
3. Discrete Mathematics
WHAT IS THIS COURSE ABOUT? Discrete Mathematics (DM), or Discrete Math is the backbone of Mathematics and Computer Science. DM is the study of topics that are discrete rather than continuous, for that, the course is a MUST for any Math or CS student. The topics that are covered in this course are the most essential ones, those that will touch every Math and Science student at some point in their education. The goal of this course is to build the mathematical foundation for computer science courses such as data structures, algorithms, relational and database theory, and for mathematics courses such as linear and abstract algebra, combinatorics, probability, logic and set theory, and number theory. Discrete Mathematics gives students the ability to understand Math language and based on that, the course is divided into the following sections: SetsLogicNumber Theory ProofsFunctionsRelationsGraph TheoryStatisticsCombinatorics and Sequences and Series YOU WILL ALSO GET: Lifetime AccessQ & A section with supportCertificate of completion30-day money-back guaranteeHOW IS IT DELIVERED? I know visually seeing a problem getting solved is the easiest and the most direct way for a student to learn so I designed the course keeping this in mind. The materials are delivered through videos to make complex subjects easy to comprehend. More details on certain lessons are delivered through text files to provide more explanations or examples. The course is taught in plain English, away from cloudy, complicated mathematical jargon, to help the student learn the material rather than getting stuck on fancy words. HOW DO I LEARN BETTER? There are quizzes after each lecture so you can test your knowledge and see how much of the material has sunk in. I suggest you go through each lesson several times to better understand the content...
4. Mathematics for Machine Learning
For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.\n\nIn the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.\n\nThe second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.\n\nThe third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.\n\nAt the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning...
5. Mathematics for Computer Science
“Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools. We get you started in binary and other number bases, some tools to make sense of sequences of numbers, how to represent space numerical using coordinates, how to study variations of quantities via functions and their graphs. For this we prepared computing and everyday life problems for you to solve using these tools, from sending secret messages to designing computer graphics. If you wish to take it further you can join the BSc Computer Science degree and complete the full module ‘Numerical Mathematics’. Enjoy!”...
6. Applied Mathematical Optimization
Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives.[1] It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering[2] to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.[3]In the more general approach, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics. More generally, optimization includes finding best available values of some objective function given a defined domain (or input), including a variety of different types of objective functions and different types of domains. Optimization problems can be divided into two categories, depending on whether the variables are continuous or discrete: An optimization problem with discrete variables is known as a discrete optimization, in which an object such as an integer, permutation or graph must be found from a countable set. A problem with continuous variables is known as a continuous optimization, in which an optimal value from a continuous function must be found. They can include constrained problems and multimodal problems...
7. Applied Business Mathematics
Welcome to Applied Business Mathematics. As we all know that Mathematics is the mother of all sciences even social sciences. In this course, Mathematics is a key role in the education of students belonging to Management Sciences, Business, Economics, and the Social Sciences. This course is appropriate for all levels of management, business, and economics students. This course focuses on the following topics: Study concept of Linear Equation and its applications in different business and economic models. Study System of Linear Equations along with applications in daily life with the help of different examples. Linear Inequality along with their solutions on the number line with various examples. Using MS Excel and Python to solve System of Linear Equation with application in different business and management models. Solve System of Linear Equations using Matrices techniques like Gauss Jordan Method and Gaussian Elimination Method. Concept of Mathematical Function along with concepts of Linear Cost Function, Linear Revenue Functions, Linear Profit Functions, Break-Even Models. In the Finance Mathematics section, we will focus on Simple and Compound Interest, Annuities, Cost-Benefit Analysis, and some more useful concepts, and compare the difference between Simple and Compound Interest with the help of graphs in Python. An introduction to Linear Programming with different techniques like Simplex Method, Big-M Method, Dual Method along with some graphical techniques...
8. Mathematics of Finance
Learn the basics of the mathematics behind finance. In this course you will learn about compound interest, annuities, and amortization of loans. For more details check out all the lecture titles and descriptions!...
9. Mathematical Biostatistics Boot Camp 1
This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required...
10. Mathematical Biostatistics Boot Camp 2
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples...