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Meta Data Science Jobs in California (NOW HIRING)

Omnicom

Director, Data Science

Los Angeles, CA · On-site

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ...

Five9

Vice President, Data Science

San Ramon, CA · On-site

The data science team is very much applied - their work directly makes its way into real products ... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ...

Tatari

Data Science Manager

San Francisco, CA

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Tatari

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Tatari

Data Science Manager

Los Angeles, CA

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

San Francisco, CA

$70K - $85K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Meta

Data Center Development Manager

Menlo Park, CA

$170K/yr

Meta designs, builds, and operates some of the most advanced and efficient data center ... Bachelor's degree in Business, Planning, Engineering, Science or Environmental management * 5+ ...

Tatari

Data Science Analyst

Los Angeles, CA

$70K - $85K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

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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.

Data Scientist - Law Enforcement Analytics & Program

Meta

Menlo Park, CA • Remote

$151K/yr

Full-time

Posted 9 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 242 rated software companies

Job description

Meta is seeking a Data Scientist to join our Law Enforcement Analytics & Program (LEAP) team. Our mission is to enable Meta's capacity to balance public safety, user privacy, and compliance obligations at scale through strategic coordination, technical leadership, and operational success across the Security, Integrity, Investigations (SI2) legal team and its partners. This role leverages AI, data and insights to drive decisions that enable predictability, and proactive detection, allowing us to operate efficiently and reliably at scale. You will be building AI models and will be involved in the design, development, and deployment of intelligent solutions that reduce the operational and investigative burden. This role will directly impact the scalability and efficiency of our operations and investigations through proactive detection, automation, and resolution of routine tasks, inefficiencies, and incidents. In addition, this is a crucial role in translating data into action and identifying opportunities for efficiency and effectiveness.
Data Scientist - Law Enforcement Analytics & Program Responsibilities:
  • Translate business challenges into clear, actionable requirements for AI-enabled solutions
  • Map end-to-end business processes, highlighting areas where AI can drive efficiency and value
  • Design, build and implement AI automations
  • Develop and deploy solutions and AI prompts to identify and address bottlenecks, replacing manual interventions with intelligent automation
  • Create scalable automation mechanisms that proactively monitor, analyze, and report
  • Build robust predictive models using statistical and machine learning techniques to forecast risks, anticipate issues and optimize
  • Develop monitoring tools to trigger early warnings and facilitate rapid resolution through automation
  • Acts as a data subject matter
  • Formulate the right metrics, measures, and definitions of success to drive quality, efficiency, cost, and timeliness understanding the source data
  • Perform complex data analysis leveraging data streams available to drive proactive and predictive action
  • Partner with operational analysts, investigators, and engineering partners to understand pain points, identify repetitive tasks, and translate them into opportunities for automation
  • Bring multiple areas of business and engineering together via a common reliable foundation of common data, metrics, and insights
  • Build data tables and dashboards, and leverage these for interpreting incidents and trends
  • Leverage tools like Tableau, Python, and SQL to drive efficient analytics

Minimum Qualifications:
  • 6+ years of experience in analytics, engineering, and use of AI/ML
  • 6+ years of SQL development experience and scripting language like Python
  • Hands-on experience with AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) and automation tools/platforms
  • Experience with data visualization tools and leveraging data models to drive business decisions
  • Experience with statistics (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)
  • Demonstrated experience with proactively identifying, scoping and implementing solutions
  • Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
  • Bachelor's Degree in an anlaytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Master's Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)

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.
$151,000/year to $213,000/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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