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Remote Math Jobs in Jackson, MS (NOW HIRING)

Analytics Engineer (Remote)

Madison, MS · Remote

$115K - $208K/yr

Bachelor\'s or advanced degree in Statistics, Applied Mathematics, Econometrics, or another ... Flexible work environment, ability to work remote, hybrid or in-office. * Flexible time off ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in ...

Apply Early

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in ...

Apply Early

Remote Math information

See Jackson, MS salary details

$19.6K

$51.3K

$82.3K

How much do remote math jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote math in Jackson, MS is $51,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,200.00 and $61,000.00 per year, depending on experience, location, and employer.

What careers in math can you work from home?

Remote math careers include roles such as data analyst, statistician, quantitative analyst, and math tutor, which often require strong analytical skills and proficiency with tools like Excel, R, or Python. These positions typically involve flexible schedules and can be performed independently with a computer and internet connection.

Can mathematicians work remotely?

Yes, many mathematicians can work remotely, especially those in research, data analysis, or software development roles. Remote work often requires strong analytical skills, proficiency with mathematical software, and effective communication tools. The feasibility depends on the employer and the specific job responsibilities.

What are the key skills and qualifications needed to thrive as a Remote Math Teacher, and why are they important?

To thrive as a Remote Math Teacher, you need a solid background in mathematics, a teaching credential or degree, and experience with curriculum planning. Familiarity with virtual classroom platforms (like Zoom or Google Classroom), online assessment tools, and digital whiteboards is typically required. Excellent communication, adaptability, and strong organizational skills help engage students and manage remote learning challenges. These skills and qualifications are crucial for delivering effective math instruction and maintaining student engagement in an online environment.

What Are the Qualifications to Get a Remote Math Job?

The qualifications that you need to get a remote math job include advanced knowledge of mathematics and a postsecondary degree in a relevant field. Remote math teachers need at least a bachelor’s degree in math or education to teach at the elementary or secondary school level. States may also require a teaching license. Community college math instructors must have at least a master’s degree, while university-level professors need a doctorate and advanced credentials to teach online math courses. Math tutors may have a college degree, or they may be studying math at the college or graduate level. Employers may test tutors without a degree before starting employment. Along with educational requirements, remote math jobs require strong communication, technical, and time management skills, as well as a reliable internet and phone connection.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians, often in roles related to cryptography, data analysis, and intelligence analysis. Candidates typically need strong analytical skills, a background in mathematics or related fields, and security clearance. These positions may require specialized training and adherence to strict confidentiality protocols.

What is the difference between Remote Math vs Remote Data Analyst?

AspectRemote MathRemote Data Analyst
Required CredentialsMathematics degree, quantitative skillsStatistics, data analysis certifications, degree in related field
Work EnvironmentRemote, often independent or team-based projectsRemote, collaborative with data teams and stakeholders
Industry UsageEducation, research, finance, techBusiness, marketing, finance, healthcare
Common Search/ComparisonRemote MathRemote Data Analyst

Remote Math professionals focus on mathematical problem-solving, research, and theoretical work, often in academic or research settings. Remote Data Analysts interpret data to inform business decisions, requiring skills in statistics and data visualization. While both roles are remote and involve data, Remote Math emphasizes mathematical theory, whereas Remote Data Analysts focus on practical data insights for organizations.

How does a remote math educator effectively collaborate with students and colleagues in a virtual environment?

As a remote math educator, collaboration is primarily facilitated through digital platforms such as video conferencing, shared documents, and virtual whiteboards. Regular communication with students often involves scheduled online classes, one-on-one tutoring sessions, and prompt feedback on assignments. Collaborating with colleagues may include participating in virtual team meetings, co-developing lesson plans, and sharing teaching resources digitally. Building strong relationships and maintaining clear, consistent communication are key to overcoming the challenges of remote interaction and ensuring student engagement and success.

What job makes $1,000,000 a year?

In the field of remote math-related jobs, high-level roles such as quantitative analysts, data scientists, or financial modelers in finance or tech companies can reach or exceed a million dollars annually through salaries, bonuses, and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience with programming tools like Python or R. Such roles are often found in industries with high revenue potential and may involve long hours and high responsibility.

What are remote math jobs?

Remote math jobs are positions that allow professionals to work from home or any location outside of a traditional office, focusing on mathematics-related tasks. These roles can include teaching or tutoring math online, working as a data analyst, statistician, actuary, or even developing algorithms for tech companies. Remote math jobs often require strong analytical skills, proficiency in mathematical concepts, and the ability to use digital collaboration tools. They offer flexibility in terms of location and sometimes work hours, making them appealing to those seeking work-life balance. Opportunities are available in education, finance, technology, and research sectors.
What are the most commonly searched types of Math jobs in Jackson, MS? The most popular types of Math jobs in Jackson, MS are:
What are popular job titles related to Remote Math jobs in Jackson, MS? For Remote Math jobs in Jackson, MS, the most frequently searched job titles are:
What job categories do people searching Remote Math jobs in Jackson, MS look for? The top searched job categories for Remote Math jobs in Jackson, MS are:
What cities near Jackson, MS are hiring for Remote Math jobs? Cities near Jackson, MS with the most Remote Math job openings:
Infographic showing various Remote Math job openings in Jackson, MS as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% Remote job distribution, with an average salary of $51,272 per year, or $24.6 per hour.
Analytics Engineer (Remote)

Analytics Engineer (Remote)

Experian

Madison, MS • Remote

$115K - $208K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Key responsibilities

  • Build scalable Python-based data pipelines and backend services for analytics workflows.

  • Create and support platforms that allow analytics development, model training, and model deployment.

  • Implement and maintain CI/CD pipelines and infrastructure-as-code solutions for automated deployments.


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

The Fraud Analytics & Commercialization team drives Experian\'s fraud analytics business through four integrated functions: pre-sales engagement, scalable and custom solutions, consulting, and operational enablement, with the goal of becoming the industry\'s provider-of-choice.

We\'re looking for an Analytics Engineer, Fraud Analytics Infrastructure, to join our Fraud Analytics team. As the ideal candidate, you thrive at the intersection of data engineering, infrastructure, and machine learning, and care about the reliability, scalability, and usability of the platforms your colleagues depend on. You\'ll work closely with data scientists, engineers, and product partners to build, maintain, and continuously improve the analytics ecosystem that enables fraud attribute development, model building, and model deployment, including identifying opportunities to increase efficiency and stability across the full modeling lifecycle. Core skills include navigating ambiguity, an impact-focused mindset, critical thinking, and an eagerness to collaborate across teams. You are curious about the latest tools and AI solutions, will evaluate their potential, and help bring the best of them into the team\'s workflows. Candidates who have taken an unconventional path and demonstrated the curiosity to figure things out without a blueprint will find this role and team to be a good fit.

You will report to the Data Modeling Director.

You\'ll have the opportunity to:

  • Build scalable Python-based data pipelines and backend services for analytics workflows.
  • Design software systems using object-oriented programming and sound engineering practices.
  • Create and support platforms that allow analytics development, model training, and model deployment.
  • Implement and maintain CI/CD pipelines and infrastructure-as-code solutions for automated deployments.
  • Manage cloud and on-premises analytics environments, including AWS infrastructure and security controls.
  • Monitor, troubleshoot, and improve data pipelines, platform performance, and system reliability.
  • Support machine learning and fraud modeling workflows, including feature engineering and model deployment.
  • Implement new technologies, including AI-based solutions, to improve platform efficiency and stability.
Qualifications
  • 3+ years of experience in data science, analytics, data engineering, or a related field.
  • Bachelor\'s or advanced degree in Statistics, Applied Mathematics, Econometrics, or another quantitative field; equivalent experience considered.
  • Experience developing applications and data pipelines using Python, including PySpark, Polars, NumPy, and Pandas.
  • Familiarity with Java and object-oriented programming concepts.
  • Experience building, deploying, and supporting production systems and data platforms.
  • Experience with AWS services such as EC2, EMR, and Airflow, including cloud security best practices.
  • Experience with machine learning workflows and analytics model development environments.
  • Experience with CI/CD processes, Infrastructure as Code, containerization tools, and UNIX/Linux environments.
Additional Information

Benefits/Perks:

  • Great compensation package and bonus plan.
  • Core benefits including medical, dental, vision, and matching 401K.
  • Flexible work environment, ability to work remote, hybrid or in-office.
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.
  • Explore all our exciting benefits here: https://myexperianbenefits.com/.

Our uniqueness is that we celebrate yours. Experian\'s people first, inclusive and purpose driven culture is multi award-winning; World\'s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-Remote

This is a remote position.

  • Employee Status: Regular
  • Role Type: Hub
  • Job Posting - Salary Range: $115,747 - $208,344
  • Department: Analytics
  • Schedule: Full Time
  • Compensation: USD 115747 - USD 208344 - yearly