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Remote Data Science Jobs in California (NOW HIRING)

Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise to complex, ambiguous problems shaping how millions of users experience Atlassian's suite of ...

Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise to complex, ambiguous problems -- shaping how millions of users experience Atlassian's suite of ...

Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise to complex, ambiguous problems - shaping how millions of users experience Atlassian's suite of ...

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training robust and interactive machine learning applications. * You will collaborate with a diverse team of ...

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training robust and interactive machine learning applications. * You will collaborate with a diverse team of ...

... 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 ...

Lead Data Scientist

San Francisco, CA · On-site +1

$130K - $200K/yr

Critical-path data science projects * 20% : Partnering with Engineers, PMs, DaaS operational leads, and Finance What You'll Do * Own Generative AI Analytics: Build and maintain end-to-end infra ...

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Maintain a pulse on the current state of data science and basketball analytics * Other duties as ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

LinkedIn's Data Science team turns member and customer behavior into product decisions across one of the world's largest professional networks. We design experiments, investigate metric movements ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid options are not available. About the Role: TheWalmart Global Tech Applied AI Data Science teamis looking ...

... Data Science team. This role is based in Palo Alto, CA or remotely in the US. The ideal candidate is solution-oriented, a self-starter, and thrives in ambiguity, using advanced analytics and modeling ...

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Science), preferably with work experience of over 2-3 years (open to talk to freshers as well)

On-site ( #LI-Onsite ), Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture ... Position requires a Bachelor's degree, or foreign equivalent, in Computer Science, Data Science ...

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and ...

Showing results 41-60

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

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

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

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

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

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

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

Infographic showing various Remote Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Principal Data Scientist

Atlassian

San Francisco, CA • On-site, Remote

Full-time

Posted 21 days ago


Job description

As a Principal Data Scientist on the Global Experiences Data Science team, you'll sit at the intersection of cutting-edge analytics and Atlassian's most customer-facing products. Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise to complex, ambiguous problems shaping how millions of users experience Atlassian's suite of products.

This is a high-impact, high-visibility role where you'll lead the full data science lifecycle: from defining the right questions and building robust models to influencing product strategy and communicating insights to senior leaders. You'll be a force multiplier for the team elevating the craft of data science while partnering closely with Product, Engineering, and Design to drive meaningful outcomes at scale.


  • Define and drive the data science strategy for your product area, translating ambiguous business problems into rigorous analytical frameworks and measurable outcomes

  • Lead end-to-end development of ML models and statistical analyses from problem framing and data acquisition through experimentation, deployment, and ongoing evaluation

  • Partner with Product, Engineering, and Design to embed data-driven decision-making into the product development lifecycle

  • Own experimentation infrastructure and methodology for your domain, including A/B test design, power analysis, and interpretation of results at scale

  • Identify high-impact opportunities through exploratory analysis, surfacing insights that influence roadmap prioritization and business strategy

  • Serve as the technical authority for data science within your team setting standards for modeling approaches, code quality, and analytical rigor

  • Mentor and develop junior and mid-level data scientists; contribute to hiring, onboarding, and capability-building across the broader DS organization

  • Communicate findings and recommendations clearly to senior stakeholders and executives, translating complex analyses into actionable narratives

  • Collaborate cross-functionally to define metrics frameworks, north star metrics, and guardrail metrics for product and business health

  • Drive adoption of best practices in feature engineering, model monitoring, and responsible AI/ML across teams


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.


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


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.