2

Remote Math Jobs in San Francisco, CA (NOW HIRING)

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Tutors who can also teach a range of math subjects from 6th grade through college level can connect with more students and build a fuller schedule. This is a fully remote contract role with flexible ...

Tutors who can also teach a range of math subjects from 6th grade through college level can connect with more students and build a fuller schedule. This is a fully remote contract role with flexible ...

... math subjects from 6th grade through college level as needed. This is a fully remote contract role with flexible scheduling. Tutors who understand the U.S. curriculum and who can support a range of ...

... math subjects from 6th grade through college level as needed. This is a fully remote contract role with flexible scheduling. Tutors who understand the U.S. curriculum and who can support a range of ...

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

Showing results 21-40

Remote Math information

See San Francisco, CA salary details

$26.5K

$69.3K

$111.3K

How much do remote math jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote math in San Francisco, CA is $69,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $82,500.00 per year, depending on experience, location, and employer.

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 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.

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 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.

What are the most commonly searched types of Math jobs in San Francisco, CA?

The most popular types of Math jobs in San Francisco, CA are:

What are popular job titles related to Remote Math jobs in San Francisco, CA?

For Remote Math jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Remote Math jobs in San Francisco, CA look for?

The top searched job categories for Remote Math jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Remote Math jobs?

Cities near San Francisco, CA with the most Remote Math job openings:

Infographic showing various Remote Math job openings in San Francisco, CA as of August 2026, with employment types broken down into 52% Full Time, 39% Part Time, 1% Temporary, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $69,320 per year, or $33.3 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$145K/yr

Full-time

Re-posted 14 days ago


Job description

Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 4+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • Professional working experience with MLB or NBA data

Salary: Starting at $145,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote