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Remote Meta Data Science Jobs in California (NOW HIRING)

Meta

System Assurance Manager

Menlo Park, CA · On-site +1

$152K/yr

Meta is seeking a technically strong problem-solver to join the Data & System Assurance team within ... Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics ...

Waymo

Data Scientist

Mountain View, CA · On-site +1

$216K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Mercor

Data Scientist - AI Evaluation

San Francisco, CA · Remote

$100 - $150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning ...

New

Meta

Scaled Business Growth

San Francisco, CA · Remote

$161K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Execute on projects by working closely with Product, Sales, Data Science, and other partners.

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$259K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Meta

Scaled Business Growth

San Francisco, CA · Remote

$134K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Execute on projects by working closely with Product, Sales, Data Science, and other partners.

Meta

Scaled Business Growth

Menlo Park, CA · Remote

$161K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Execute on projects by working closely with Product, Sales, Data Science, and other partners.

Meta

Scaled Business Growth

Menlo Park, CA · Remote

$134K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Execute on projects by working closely with Product, Sales, Data Science, and other partners.

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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 are popular job titles related to Remote Meta Data Science jobs in California?

For Remote Meta Data Science jobs in California, the most frequently searched job titles are:

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

The top searched job categories for Remote 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:

Remote Meta Data Science jobs near you
Infographic showing various Remote Meta Data Science job openings in California as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

System Assurance Manager

Meta

Menlo Park, CA • On-site, Remote

$152K/yr

Full-time

Posted 25 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is seeking a technically strong problem-solver to join the Data & System Assurance team within Global Controllership. In this role you will help govern and fortify Meta's complex global accounting systems, building data-driven solutions that keep our accounting accurate, controlled, and scalable as our product landscape evolves. You will use deep technical skills combined with a strong risk mindset to solve complex analytical and systems problems, develop a deep understanding of Meta's systems and code base and their downstream impact on accounting, and partner closely with engineering, product, and accounting teams to strengthen the control environment. You will support the launch of new products, transactions, and processes to ensure system readiness and compliance, and build AI-integrated solutions that let us do this work at scale.
System Assurance Manager Responsibilities:
  • Develop an end-to-end understanding of Meta's accounting products, processes, system dependencies, controls, and risks
  • Partner closely with engineering and product teams to design scalable data infrastructure and system solutions
  • Translate complex business and accounting rules into automated controls and continuous monitoring
  • Assess the SOX impact of new products and system changes, and support control design, testing, and remediation
  • Standardize and improve upstream data sources to strengthen accounting accuracy
  • Build and maintain monitoring and automation that surface risks and anomalies before they reach the financials
  • Leverage internal AI tools and build AI-integrated solutions to scale insights and operational efficiency
  • Communicate complex technical concepts clearly to accounting, audit, and engineering audiences

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics, Data Science, Finance, Economics, or equivalent)
  • 8+ years of relevant experience in analytics, engineering, finance systems, or a similar field working on systems and scaling processes
  • 3+ years of experience with SQL in a highly complex data environment
  • Track record of independently driving ambiguous, end-to-end technical workstreams with limited direction
  • Demonstrated success working with large, complex datasets
  • Experience partnering effectively with large, diverse cross-functional teams (Engineering, Finance, Operations)
  • Experience communicating complex concepts to a wide range of audiences

Preferred Qualifications:
  • Experience with modern data platforms and pipeline orchestration tools (e.g., Databricks, Spark, Airflow)
  • Familiarity with accounting, controllership, internal audit, and/or risk management principles
  • Experience with Python and building automation or monitoring
  • Familiarity or experience with IT audits, ITGCs, and/or SOX compliance
  • Experience building or applying AI tools to analytical or systems problems
  • Experience with data visualization tools (Tableau, Power BI, or similar)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$152,000/year to $214,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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