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Remote Data Scientist Jobs in California (NOW HIRING)

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 ...

Data Scientist

Santa Clara, CA ยท On-site +1

$119K - $164K/yr

Industrial Engineering, Computer Science, Data Science, Business Analytics or equivalent bachelor's degree Experience : 4 years relevant work experience, preferably in the Semiconductor industry or ...

Data Scientist III

Mountain View, CA ยท On-site +1

$85/hr

Remote (Pacific time hours) Our client, a global technology leader seeking a Data Scientist for FY27. This individual will partner with marketing stakeholders to define and measure key business ...

Data Scientist

San Francisco, CA ยท On-site +1

$174K - $191K/yr

Data Scientist (Tubi, Inc.; San Francisco, California): Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.

Sr. Data Scientist

San Francisco, CA ยท Remote

$162K - $238K/yr

The Opportunity We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

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 ...

Senior Data Scientist

Mountain View, CA ยท On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Senior Data Scientist

Mountain View, CA ยท On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera ... remote environment with ambiguous, evolving priorities \\n Salary Range: Salary ranges are ...

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

Finalis is a high-growth, VC-backed, fully remote startup using AI to build the future of private ... As Lead Data Scientist, you will be the driving force to build a world-class ML and AI insights ...

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

Showing results 21-40

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 11, 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 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.

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 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.

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 are popular job titles related to Remote Data Scientist jobs in California? For Remote Data Scientist jobs in California, the most frequently searched job titles 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 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Senior Data Scientist, Innovation Lab - Remote

Experian

San Marcos, CA โ€ข Remote

$153K - $275K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian\'s departments to enhance relationships with clients and acquire strategic datasets. Experianยฎ is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable.

As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring an experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist

You\'ll have opportunity to:

  • Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
  • Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
  • Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
  • Innovate with tools designed for data processing and information retrieval.
  • Dissect and document vast datasets, analyzing them to highlight patterns and insights.
  • Solve complex challenges by developing impactful algorithms.
  • Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.
Qualifications
  • PhD degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
  • 2+ years of experience in AI, data science, or predictive modeling
  • Proficiency in multiple programming languages, including Python
  • Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
  • Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
  • Experience with large data analysis using pySpark
  • Experience with LLMs and the relevant tools in the Generative AI domain.
  • Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
  • Experience modifying and applying advanced algorithms to address practical problems
  • Experience with online, mobile marketing analytics
  • Experience with GPU programming
Additional Information

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

Our uniqueness is that we celebrate yours. Experian\'s people first, inclusive and purpose driven culture is multi award-winning; World\'s Best Workplacesโ„ข 2025 (Fortune Global Top 25), Great Place To Workโ„ข in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness - Experian\'s recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers..

#LI-Remote

  • Employee Status: Regular
  • Role Type: Home
  • Job Posting - Salary Range: $153,075 - $275,535
  • Department: Analytics
  • Flexible Time Off: 20 Days
  • Schedule: Full Time
  • Shift: Day Shift
  • Compensation: USD 153075 - USD 275535 - yearly