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Remote Statistics Jobs in California (NOW HIRING)

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting ...

Infinity Marketing

Data Analyst

Riverside, CA · Remote

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to ... By means of data visualization, statistical analysis, and reporting, you will directly engage ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Research and development of machine learning algorithms and statistical models for non-invasive ...

Travere

Senior Biostatistician

San Diego, CA · On-site +1

San Diego, USA- Remote Be a part of a global team that is inspired to make a difference in the ... This role contributes to statistical aspects of assigned studies or projects to ensure that ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ...

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$82.6K

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How much do remote statistics jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote statistics in California is $82,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $114,500.00 per year, depending on experience, location, and employer.

What is a remote statistics?

A Remote Statistics job involves analyzing data, interpreting trends, and applying statistical methods to solve problems from a remote location. Professionals in this role work in various industries such as healthcare, finance, and technology. They use statistical software, programming languages like R or Python, and data visualization tools to support decision-making. Remote statisticians may work for companies, research institutions, or as independent consultants. Strong analytical skills, attention to detail, and the ability to communicate findings effectively are essential for success in this field.

What does a remote statistics do?

Remote statisticians spend much of their day collecting, cleaning, and analyzing complex data sets to support organizational objectives. They use statistical software to identify trends, test hypotheses, and produce data reports or visualizations, often collaborating virtually with teams such as data scientists, business analysts, or project managers. Regular responsibilities may also include preparing presentations, explaining statistical findings to non-technical stakeholders, and ensuring data accuracy and confidentiality. Effective remote communication and independent time management are key to meeting project deadlines and contributing valuable insights from a home or remote office setting.

What are the key skills and qualifications needed to thrive in the remote statistics position, and why are they important?

To thrive in a Remote Statistics role, you need strong statistical analysis skills, proficiency in mathematics, and typically a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, along with experience using data visualization tools, is often essential. Excellent communication, self-motivation, and time management help remote statisticians succeed in a distributed work environment. These capabilities enable accurate analysis, effective collaboration, and the ability to work independently while delivering meaningful insights to employers.

What are the most commonly searched types of Statistics jobs in California? The most popular types of Statistics jobs in California are:
What are popular job titles related to Remote Statistics jobs in California? For Remote Statistics jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Statistics jobs in California look for? The top searched job categories for Remote Statistics jobs in California are:
What cities in California are hiring for Remote Statistics jobs? Cities in California with the most Remote Statistics job openings:
Remote Statistics jobs near you
Infographic showing various Remote Statistics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $82,561 per year, or $39.7 per hour.

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 23 days ago

Job description

Company Description
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
Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Soccer, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base Salary: Starting at $130,000
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 Science Role Soccer Team Locations San Francisco, CA - Remote Remote status Fully Remote

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