ZipRecruiter

Log In

2

Remote Math Jobs in Long Beach, CA (NOW HIRING)

Keywords Studios

Project Lead - AI

Los Angeles, CA · Remote

$35 - $40/hr

USA Remote (Prefer PST Time Zone) Work Hours: M - F, 9:00 am - 5:30 pm Pay Rate: $35 - $40 /hr DOE ... A completed college degree in Computer Science, Math, Statistics, or Cognitive Science * Strong ...

next page

Showing results 1-20

All JobsRemote Math JobsRemote Math Jobs in Long Beach, CA

Remote Math information

See Long Beach, CA salary details

$23.7K

$61.9K

$99.4K

How much do remote math jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote math in Long Beach, CA is $61,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,300.00 and $73,600.00 per year, depending on experience, location, and employer.

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.

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 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.
More about Remote Math jobs
What are the most commonly searched types of Math jobs in Long Beach, CA? The most popular types of Math jobs in Long Beach, CA are:
What are popular job titles related to Remote Math jobs in Long Beach, CA? For Remote Math jobs in Long Beach, CA, the most frequently searched job titles are:
What job categories do people searching Remote Math jobs in Long Beach, CA look for? The top searched job categories for Remote Math jobs in Long Beach, CA are:
What cities near Long Beach, CA are hiring for Remote Math jobs? Cities near Long Beach, CA with the most Remote Math job openings:
Remote Math jobs near you
Infographic showing various Remote Math job openings in Long Beach, CA as of June 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 100% Remote job distribution, with an average salary of $61,866 per year, or $29.7 per hour.

Senior Data Modeling Analyst - Remote

Experian

Costa Mesa, CA • On-site, Remote

$92K - $116K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

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

You'll have opportunity to:

  • Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
  • Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
  • Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
  • Design and improve acquisition strategies, including segmentation, decision rules, and cut-off strategies
  • Translate findings into applicable business recommendations for partners
  • Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy implementation and monitoring.
  • Interpret results of analyses, identify trends and issues and recommend alternatives to support our goals.
  • Communicate with and deliver presentations to end-users on analysis results.
  • Produce implementation plans and participate in audits to help implement statistical models and other decision tools.
  • Help develop analytic and data products and services, and the enhancement of current processes and offerings.
Qualifications
  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
  • 8+ years' experience with statistical and quantitative analysis, Machine Learning, Statistical Modeling including large-scale data manipulation in Credit Lending industry
  • Proficiency in Python (required) and SQL, with experience building scalable pipelines
  • Knowledge of statistical models and practical experience in predictive model development (Python, R, SAS).
  • Domain experience in financial services, with exposure to credit lending, credit risk modeling, and credit decisioning lifecycle (e.g., origination, underwriting, limit setting, portfolio monitoring)
  • Experience with model deployment and productionization, including CI/CD pipelines, version control, and integration of models into scalable, real-time or batch decisioning systems
  • Experience joining large datasets from multiple data sources, creating complex logic for data cleaning, outlier detecting, and refining business rules to validate and monitor the model forecast
  • Experience solving complex and unique problems

Additional Information

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.

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/