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Meta Data Jobs in San Ramon, CA (NOW HIRING)

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Data Engineer, PAR

Menlo Park, CA · On-site

$177K - $247K/yr

Meta's Products & Applied Research (PAR) team is where product-focused research meets real-world ... We are looking for a Data Engineer to join our PAR organization where your technical skills and ...

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Meta's Products & Applied Research (PAR) team is where product-focused research meets real-world ... We are looking for a Data Engineer to join our PAR organization where your technical skills and ...

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Meta Data information

What are the key skills and qualifications needed to thrive as a Metadata Specialist, and why are they important?

To thrive as a Metadata Specialist, you need a strong understanding of information organization, data management principles, and often a background in library science, information science, or a related field. Familiarity with metadata standards (such as Dublin Core, MARC), cataloging tools, and database management systems is typically required. Attention to detail, analytical thinking, and effective communication are essential soft skills for ensuring metadata accuracy and collaborating across teams. These skills ensure that digital assets are easily discoverable, consistently managed, and accessible, supporting efficient data retrieval and organizational workflow.

What are some common challenges faced by professionals working in metadata management roles?

Metadata professionals often encounter challenges such as ensuring data consistency across multiple systems, maintaining metadata quality as data sources grow, and establishing clear data governance policies. Collaboration with IT, data stewards, and business users is essential to accurately capture and update metadata definitions. Overcoming these hurdles typically requires strong communication skills, attention to detail, and ongoing training in metadata standards and tools.

What are metadata professionals?

Metadata professionals are individuals who specialize in creating, managing, and maintaining metadata, which is data that describes other data. Their work is essential in organizing, categorizing, and making information easily discoverable in digital environments such as libraries, archives, and databases. They often develop metadata standards, ensure data consistency, and support data interoperability across systems. Metadata professionals play a crucial role in information management, digital asset management, and supporting data-driven decision-making.

What is the difference between Meta Data vs Data Analyst?

AspectMeta DataData Analyst
Required CredentialsTypically a degree in information science, library science, or related fieldsUsually a degree in statistics, mathematics, or business analytics
Work EnvironmentData management teams, information systems, digital librariesBusiness, finance, marketing departments, often in office settings
Employer & Industry UsageUsed in data cataloging, database management, digital asset managementUsed in data interpretation, reporting, decision-making across industries

Meta Data focuses on describing and managing data itself, ensuring data is organized and accessible. Data Analysts interpret and analyze data to provide insights for business decisions. While Meta Data helps organize data assets, Data Analysts utilize that data to generate meaningful reports and strategies.

What job categories do people searching Meta Data jobs in San Ramon, CA look for? The top searched job categories for Meta Data jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Meta Data jobs? Cities near San Ramon, CA with the most Meta Data job openings:
Infographic showing various Meta Data job openings in San Ramon, CA as of May 2026, with employment types broken down into 2% Internship, 4% Full Time, 74% Part Time, and 20% Contract. Highlights an 100% Remote job distribution.
Data Scientist, Product Analytics

Data Scientist, Product Analytics

Meta

Sunnyvale, CA

$177K/yr

Full-time

Posted 15 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 184 rated software companies


Job description

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: 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 Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities:
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications:
  • A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$177,000/year to $247,000/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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