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Remote Data Scientist Jobs in California (NOW HIRING)

The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is ...

The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is ...

Data Scientist, Technical Lead

Berkeley, CA ยท On-site +1

$210K - $260K/yr

As a Technical Lead - Data Science, you will provide technical direction and management fora team of data scientists working on high-impact problems across trading and research systems. You will be ...

Wing is looking for a Senior Data Scientist to join our B usiness and Product Analytics & Data Science team. This role is based in Palo Alto, CA or remotely in the US. The ideal candidate is solution ...

Senior Data Scientist

San Francisco, CA ยท On-site +1

$229K - $267K/yr

Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making. Full-time telecommuting is an option.

Senior Data Scientist About Nash Nash is the autonomic logistics platform. We unify decisioning and execution across fleets, carriers, providers, and fulfillment networks, continuously adapting as ...

Data Scientist II

Irvine, CA ยท On-site +1

$82K - $127K/yr

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

On-site ( #LI-Onsite ), Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture ... Job Summary Farmers Group (Woodland Hills, CA) seeks a Lead Data Scientist to apply advanced ...

The Sr. Data Scientist in the Research and Development (R&D) group at Align works closely with our cross-functional teams in IT, software, marketing, clinical, and operation teams. He/she leverages ...

Data Scientist II

Irvine, CA ยท On-site +1

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Showing results 41-60

Remote Data Scientist information

See California salary details

$37K

$121.1K

$193.9K

How much do remote data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data scientist in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in California?

The most popular types of Data Scientist jobs in California are:

What job categories do people searching Remote Data Scientist jobs in California look for?

The top searched job categories for Remote Data Scientist jobs in California are:

What cities in California are hiring for Remote Data Scientist jobs?

Cities in California with the most Remote Data Scientist job openings:

Infographic showing various Remote Data Scientist job openings in California as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Principal Data Scientist

Atlassian

San Francisco, CA โ€ข On-site, Remote

Full-time

Posted 8 days ago


Job description

Overview:

Working at Atlassian

Atlassians can choose where they work โ€“ whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Your future team

You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassianโ€™s customers engage with our products and communications and, in doing so, identify, design, and measure the success of product investments.

Responsibilities:

In this role, you will:

  • Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work.

  • Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.

  • Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.

  • Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.

  • Partner with cross-functional teams to inform, influence, and execute strategy decisions

  • Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.

  • You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.

  • You will use storytelling techniques to communicate insights broadly, including to company leadership teams.

Compensation:

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.

Pay Ranges:

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $206,100 - $269,075

Zone B: $185,490 - $242,168

Zone C: $171,063 - $223,332

Qualifications:

Minimum Qualifications / Your background:

  • 8+ Years of Experience in Data Science or related fields

  • Proficiency in SQL AND another data manipulation programming language (e.g Python, R)

  • Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)

  • Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand

  • Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills

  • A proven track record for crafting analysis into well-written content

  • Experience advising, presenting to and serving as a thought partner to senior executives

Desirable Qualifications:

  • 10+ Years of Experience in Data Science or related fields

  • An understanding of the SaaS business model and key metrics

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.