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Meta Data Science Jobs in California (NOW HIRING)

Meta

Data Scientist, Product Analytics

Menlo Park, CA

$119K/yr

... Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Mathematics, Statistics, a relevant ...

Meta

Data Scientist, Product Analytics

Burlingame, CA

$177K/yr

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

Data Scientist, Product Analytics

Menlo Park, CA

$177K/yr

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

Data Scientist, Product Analytics

New York, NY

$147K/yr

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

Data Scientist, Product Analytics

Seattle, WA

$147K/yr

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

Data Scientist, Product Analytics

Redmond, WA

$147K/yr

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

Data Engineer, Product Analytics

Burlingame, CA

$114K/yr

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA

$114K/yr

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

Meta

Data Scientist, Product Analytics

Menlo Park, CA · On-site

$119K - $173K/yr

... Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta • Bachelor's degree in Mathematics, Statistics, a ...

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Meta Data Science information

What are the typical daily responsibilities of a meta data science?

In a Meta Data Science role, your daily tasks often involve analyzing large datasets to extract insights, developing and validating predictive models, and communicating findings to diverse teams. You will work closely with product managers, engineers, and other data professionals to design experiments and optimize business strategies. The role frequently requires presenting complex analyses in approachable terms and iterating on data solutions in response to feedback. You may also contribute to the development of internal data tools or pipelines, ensuring data quality and accessibility across the organization.

What is a meta data science?

A Meta Data Science job involves using data analysis, machine learning, and statistical techniques to drive insights and decision-making at Meta. Data scientists in this role work with large-scale datasets to optimize products, improve user experiences, and develop predictive models. They collaborate with engineers, product managers, and researchers to solve complex business problems. The role requires expertise in programming, data visualization, and experimental design to extract meaningful information from data.

How to get a data science job at Meta?

To secure a data science job at Meta, candidates should have a strong background in statistics, programming (especially Python or R), and experience with data analysis and machine learning. Building a portfolio of relevant projects, gaining experience through internships, and demonstrating problem-solving skills are also important. Familiarity with tools like SQL, data visualization, and understanding of social media or tech platforms can enhance prospects.

What are the key skills and qualifications needed to thrive in meta data science?

To excel in Meta Data Science, a strong background in statistics, machine learning, and data analysis, often supported by an advanced degree in a quantitative field, is essential. Proficiency in programming languages like Python or R, experience with big data platforms (such as Hadoop or Spark), and knowledge of data visualization tools are typically required, as well as relevant certifications like those from Google, AWS, or Microsoft. Exceptional problem-solving, communication, and teamwork skills set top candidates apart in this collaborative and data-driven environment. These competencies enable professionals to generate actionable insights, build scalable models, and effectively communicate findings to both technical and non-technical stakeholders.

How much do meta data scientists make?

Meta data scientists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning and data engineering can earn higher salaries, often exceeding $180,000 per year.
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 Meta Data Science jobs in California? For Meta Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Meta Data Science jobs in California look for? The top searched job categories for Meta Data Science jobs in California are:
Meta Data Science jobs near you
Infographic showing various Meta Data Science job openings in California as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% In-person job distribution.

AI Research Scientist - Meta Superintelligence Lab (Technical Leadership)

Meta

Menlo Park, CA • On-site

$219K - $301K/yr

Full-time

Posted 4 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 242 rated software companies

Job description

Meta is seeking Research Scientists to join the Product and Applied Research organization within MSL (Meta Superintelligence Lab). This role requires industry experience working on LLM post-training and the ability to apply relevant AI techniques to build intelligent rich language systems that improve Meta's products and experiences.
Responsibilities
Help advance the science and technology of intelligent machines
• Work on research projects, strategies, and problems of moderate to high complexity and scope. Identify and define both short- and medium-term objectives
• Influence progress of relevant research communities by producing publications
• Establish strong connection with cross-functional partners and contribute research with the goal of applying to Meta's product development
• Lead and collaborate on research projects within a team
• Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems
• Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
• Proven track record of recent and consistent publication/citation history
• Experience leading a team in solving modeling problems using AI/ML approaches
• Experience in applying research to production problems
• Experience communicating research for public audiences of peers
Preferred Qualifications
• 4+ years of experience conducting AI research post PhD
• 4+ years of experience as a tech lead in leading complex technical projects from end to end
• Experience working on frontier-quality/ state-of-the-art Large Language Models
• Experience bringing machine learning-based products from research to production
• First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI)
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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