Mathematician

A Mathematician applies mathematical principles and theories to solve real-world problems in various industries.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Mathematician

Indeed
Market
National (USA)
Base Salary
$106,498 / year
Satisfaction
50%
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Mathematician is $106,498 / year according to Indeed.com

There are no updated reports for Mathematician salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Mathematician role may have an alternate title depending on the company. To find more information, you can check Indeed.com.

Career Information

As a Mathematician, you will be responsible for conducting mathematical research and analysis to solve complex problems within various industries. You will need strong mathematical and analytical skills, as well as knowledge of mathematical theories and modeling techniques. Proficiency in programming languages and mathematical software is also important, as you will be responsible for developing and implementing mathematical models and algorithms.

The average salary for Mathematician is $106,498 / year according to Indeed.com
AI Disclaimer
The following text about the Job role of Mathematician has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

Mathematician is a person who has a broad knowledge of mathematics and its applications. They typically have a strong foundation in algebra, geometry, and calculus, and they may also have expertise in other areas such as statistics, probability, and computer science.

Mathematicians work in a variety of fields, including education, research, and industry. In education, they may work as teachers, professors, or administrators. In research, they may work on projects in areas such as pure mathematics, applied mathematics, or statistics. In industry, they may work in fields such as computer science, engineering, or finance.

Some of the most important skills for a Mathematician include:

  • The ability to think logically and solve problems: Mathematicians must be able to use mathematical reasoning to solve problems and prove theorems.

  • The ability to work with numbers and symbols: Mathematicians must be able to work with numbers and symbols to perform calculations and solve equations.

  • The ability to understand and apply mathematical concepts: Mathematicians must be able to understand and apply mathematical concepts such as algebra, geometry, and calculus.

  • The ability to communicate effectively: Mathematicians must be able to communicate their ideas and findings effectively, both in writing and verbally.

  • The ability to work independently and as part of a team: Mathematicians may work on their own or as part of a team, so they must be able to work effectively in both settings.

Some of the most important tasks for a Mathematician include:

  • Teaching: Mathematicians may teach mathematics to students at all levels, from elementary school to college. They may also conduct research and publish their findings in academic journals.

  • Solving problems: Mathematicians may work on a variety of problems, from simple calculations to complex proofs. They may also develop new methods for solving problems or apply existing methods to new situations.

  • Collaborating: Mathematicians may work with other mathematicians or scientists to solve problems or develop new mathematical models. They may also work with engineers or computer scientists to apply mathematics to practical problems.

  • Communicating: Mathematicians must be able to communicate their ideas and findings effectively, both in writing and verbally. They may also need to present their work to the public or to other mathematicians.
Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

AWS Certified Machine Learning — Specialty Certification

MLS-C01

The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

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Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

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Microsoft Certified: Azure Data Scientist Associate

DP-100

The Microsoft Certified: Azure Data Scientist Associate is a high-ROI program designed for professionals who have expertise in applying data science and machine learning techniques to implement and manage machine learning workloads on Azure.

Intermediate
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AWS Certified Data Analytics — Specialty

DAS-C01

The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

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Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

Intermediate
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Microsoft Certified: Azure AI Engineer Associate

AI-102

The Azure AI Certification is a high-ROI program designed for professionals who are passionate about building, managing, and deploying AI solutions using Azure Cognitive Services and Azure services.

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Specialization Programs improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

Mathematics for Machine Learning and Data Science Specialization

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IBM Data Analyst Professional Certificate

Professional

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Nanodegree

Complete linear algebra: theory and implementation in code

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This course teaches concepts in linear algebra and matrix analysis, and demonstrates their implementation in MATLAB and Python.

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This MLOps Specialization offers an in-depth understanding of creating, deploying, and maintaining integrated systems, managing data changes, and optimizing performance.

Mathematics for Machine Learning: Linear Algebra

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This course is jam-packed with lessons and exercises to help you develop an intuitive understanding of linear algebra concepts such as vectors, matrices, basis (linear algebra), eigenvalues, eigenvectors, and transformation matrices, among others.

Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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