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Meta Data Science Jobs in California (NOW HIRING)

Meta

Data Science Director (IC)

Sunnyvale, CA

$253K/yr

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

Meta

Data Science Director (IC)

Menlo Park, CA

$253K/yr

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

Meta

Data Science Director

Menlo Park, CA

$314K/yr

You will play a critical role in helping Meta build the platforms of the future. You will partner ... Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ...

Facebook App

Data Science Director

Menlo Park, CA · On-site

$253K/yr

You will play a critical role in helping Meta build the platforms of the future. You will partner ... Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ...

Meta

Data Scientist (Technical Leadership)

Menlo Park, CA · On-site +1

$210K/yr

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our ...

Meta

Data Scientist (Technical Leadership)

Sunnyvale, CA · On-site +1

$210K/yr

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our ...

Meta

Data Analyst, Global Operations

Menlo Park, CA · On-site

$125K/yr

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent ... You will partner with operational, data science, data engineering, and product teams globally to ...

Meta

Data Scientist (Technical Leadership)

Sunnyvale, CA · On-site

$210K - $281K/yr

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our ...

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Meta Data Science information

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.

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 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.

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 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Science Director (IC)

Sunnyvale, CA

Meta
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students

Learn more about Metaexternal

$253K/yr

Full-time

Re-posted 14 days ago

Job description

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes state-of-the-art Machine Learning/AI to ensure every ad impression is meaningful. It is central to the entire ads experience we offer to users and advertisers and generates the vast majority of Meta’s revenue. The mission of this role is to drive data-informed decisions and shape the long-term strategic direction and operational model of the Monetization AI Ranking space in an IC capacity.The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large-scale AI development, measurement, and data product management, and will be enthusiastic about cutting-edge AI advancements. They should have a proven ability to influence executives through their data, framing, technical, and communication skills.
Data Science Director (IC) Responsibilities:
  • Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space
  • Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale
  • Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact
  • Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities
  • Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years of experience in analytics and data science, leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience framing and communication skills

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Masters or Ph.D. Degree in a quantitative field
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • 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.
$253,000/year to $314,000/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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