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Remote Data Jobs in San Rafael, CA (NOW HIRING)

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$150K/yr

This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ... Analysis of live-streaming data and turning it into actionable decisions * Design and set up tests ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience as a Data Platform Engineer or ML/AI Engineer with significant handson work in Snowflake ...

Eight Sleep

Data Scientist, Growth

San Francisco, CA · On-site +1

The Role We're seeking a Data Scientist to join our Data & Analytics team within the Growth ... Employees approved for remote work must perform their duties from a single, company-approved based ...

Mercor

Data Science Expert - AI/ML

San Francisco, CA · Remote

$60 - $90/hr

Remote Commitment: 35 hours/week Role Responsibilities * Design complex analysis tasks simulating real research work, including data cleaning, statistical analysis, and interpretation. * Author clear ...

Fastly

Data Engineer

San Francisco, CA · On-site +1

$133K - $159K/yr

Data Engineer Fastly's Analytics team empowers leaders across the business with actionable data to ... This position is open to the following preferred office locations OR Remote * San Francisco, CA USA

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

Data quality plays a critical role at Valdera. When a buyer launches a request, they expect to be ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

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Showing results 41-60

All JobsData JobsRemote Data JobsRemote Data Jobs in San Rafael, CA

Remote Data information

See San Rafael, CA salary details

$51.3K

$183.9K

$271.4K

How much do remote data jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data in San Rafael, CA is $183,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $148,800.00 and $189,500.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

What are the most commonly searched types of Data jobs in San Rafael, CA?

The most popular types of Data jobs in San Rafael, CA are:

What job categories do people searching Remote Data jobs in San Rafael, CA look for?

The top searched job categories for Remote Data jobs in San Rafael, CA are:

What cities near San Rafael, CA are hiring for Remote Data jobs?

Cities near San Rafael, CA with the most Remote Data job openings:

Remote Data jobs near you
Infographic showing various Remote Data job openings in San Rafael, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $183,947 per year, or $88.4 per hour.

Data Scientist

Swish Analytics

San Francisco, CA • Remote

$150K/yr

Full-time

Re-posted 3 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

You'll be joining a team that is working to develop the infrastructure for a system to optimize our simulation outputs based on a variety of external and internal signals. This role will work at the intersection of data science, trading, and data engineering to help develop and maintain trader automation algorithms that will react faster to signals as well as improve model accuracy. This position is remote from the USA or Canada.

Duties:

  • Develop infrastructure for trader automation and system performance tracking

  • Develop high-performance and low-latency products to react to external and internal signals

  • Analysis of live-streaming data and turning it into actionable decisions

  • Design and set up tests to detect unexpected changes to our models resulting from manual interactions.

  • Use extensive experience to build, test, debug, and deploy production-grade components

  • Ideate, develop, and improve machine learning and statistical models that drive Swish's core algorithms, growing into top-level simulation output modeling as we expand to new sports.

  • Develop contextualized feature sets that draw on sports-specific domain knowledge.

  • Contribute across all stages of model development — from proof-of-concept and beta testing to partnering with data engineering and product teams to deploy new models.

  • Constantly improve model performance using insights from rigorous experimentation.

  • Assess model performance, identify weaknesses, and use those findings to direct development efforts.

  • Document your work and present it clearly to technical and non-technical partners.

Requirements

  • Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical field; Master's strongly preferred.

  • 4+ years developing and delivering effective machine learning and/or statistical models to serve real business needs in sports analytics or sports betting.

  • Experience in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.

  • Excellent analytical and problem-solving ability, and a demonstrated drive to learn quickly in unfamiliar territory.

  • Experience with Python and relational SQL.

  • Strong foundation with source control (GitHub) and related CI/CD processes.

  • Strong foundation working in AWS environments.

  • Ideal candidates will have experience with Kafka, Docker, and Kubernetes

  • Ability to partner across teams on complex, ambiguous problems and communicate clearly with technical and non-technical audiences.

Base salary: Starting at $150,000 - 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 those outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.