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Remote Meta Data Science Jobs in California (NOW HIRING)

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

Google Ads, Meta ads, Payment systems, Amplitude, etc.) - Document data architecture, key ... data science, data analytics or other quantitative roles, with a track record of successfully ...

Sr. Data Analyst

San Francisco, CA · On-site +1

$101K - $127K/yr

Google Ads, Meta ads, Payment systems, Amplitude, etc.) - Document data architecture, key ... data science, data analytics or other quantitative roles, with a track record of successfully ...

US - Remote Job Title: Core Engineering - Design Engineer V PCB Layout Engineer, AR Product Team As ... Create and modify engineering tool project templates, meta-data, configuration data, and rules.

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 ...

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 ...

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Strong foundation in Machine Learning, Statistics, and Applied Data Science. * Experience with ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

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)

Design Engineer V

Sunnyvale, CA · On-site +1

$125 - $130/hr

US remote - Onsite work is a possibility, with a strong preference for Sunnyvale, California PCB ... Create and modify engineering tool project templates, meta-data, configuration data, and rules.

BA or BS in Computer Science, Data Science, Linguistics, or related field About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched ...

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Showing results 1-20

Remote Meta Data Science information

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

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote Meta Data Science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a Remote Meta Data Scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

What are the key skills and qualifications needed to thrive as a Remote Meta Data Scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
What are the most commonly searched types of Meta Data Science jobs in California? The most popular types of Meta Data Science jobs in California are:
What cities in California are hiring for Remote Meta Data Science jobs? Cities in California with the most Remote Meta Data Science job openings:
Infographic showing various Remote Meta Data Science job openings in California as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Scientist, Innovation Lab - Remote

Senior Data Scientist, Innovation Lab - Remote

Experian

San Diego, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

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. Experian 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
  • Master's Degree or higher 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

At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.

Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site.

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. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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