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Meta Data Scientist Jobs (NOW HIRING)

Meta

Data Scientist, Finance

Menlo Park, CA · On-site

$210K/yr

Meta is seeking a Data Scientist to join the data science team in the Finance organization that partners very closely with Product, AI, Infrastructure, Finance and other Data Science teams across the ...

Meta

Data Scientist, Finance

New York, NY

$210K/yr

Meta is seeking a Data Scientist to join the data science team in the Finance organization that partners very closely with Product, AI, Infrastructure, Finance and other Data Science teams across the ...

Meta

Data Scientist, Finance

Bellevue, WA

$210K/yr

Meta is seeking a Data Scientist to join the data science team in the Finance organization that partners very closely with Product, AI, Infrastructure, Finance and other Data Science teams across the ...

Meta

Data Scientist, Product Analytics

$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

$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

Washington, DC

$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

Seattle, WA

$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

Bellevue, WA

$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 ...

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How much do meta data scientist jobs pay per year?

As of Jun 7, 2026, the average yearly pay for meta data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some typical projects or challenges a Meta Data Scientist might encounter on the job?

As a Meta Data Scientist, you may work on projects ranging from large-scale data infrastructure optimization to advanced predictive modeling and experimentation. Challenges often include handling massive and complex datasets, ensuring data quality, and translating business needs into data-driven solutions. You'll likely collaborate closely with engineers, product managers, and other scientists to deliver impactful insights and scalable tools. This dynamic environment encourages creative problem-solving and offers opportunities for skill advancement and cross-functional learning. The role frequently involves balancing technical execution with clear communication to stakeholders.

What are the key skills and qualifications needed to thrive in the Meta Data Scientist position, and why are they important?

To thrive as a Meta Data Scientist, you need a strong background in statistics, machine learning, data analytics, and computer science, often supported by an advanced degree in a relevant field. Familiarity with programming languages like Python or R, cloud computing platforms, big data tools such as Spark or Hadoop, and certifications in data science or analytics are highly valuable. Strong collaborative, problem-solving, and communication skills help foster insights and share results effectively across multidisciplinary teams. These skills are essential for building scalable models, generating actionable data-driven insights, and effectively contributing to organizational innovation.

What is a Meta Data Scientist job?

A Meta Data Scientist at Meta (formerly Facebook) uses data analysis, machine learning, and statistical techniques to drive business decisions and improve products. They work with large-scale datasets to extract insights, optimize algorithms, and enhance user experiences. Responsibilities often include A/B testing, predictive modeling, and collaborating with engineers and product teams. The role requires strong programming skills (Python, SQL, R), expertise in statistical analysis, and experience with data visualization. Typically, candidates have backgrounds in computer science, mathematics, or related fields.

More about Meta Data Scientist jobs
What cities are hiring for Meta Data Scientist jobs? Cities with the most Meta Data Scientist job openings:
What are the most commonly searched types of Meta Data Scientist jobs? The most popular types of Meta Data Scientist jobs are:
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Meta Data Scientist jobs near you
Infographic showing various Meta Data Scientist job openings in the United States as of May 2026, with employment types broken down into 50% As Needed, and 50% Full Time. Highlights an 73% Physical, 10% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist, Evaluations - Meta Superintelligence Labs

Data Scientist, Evaluations - Meta Superintelligence Labs

Meta

New York, NY

$177K/yr

Full-time

Posted 4 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

120th of 186 rated software companies

Job description

Meta is seeking a Data Scientist to join the Evaluations team within Meta Superintelligence Labs (MSL). Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Data Scientist on this team, you will be responsible for the scientific rigor behind our frontier AI benchmarks. You will work in tandem with world-class Research Scientists and Engineers to design, validate, and analyze novel evaluations that shape the future of AI capability measurement.This role is for a technical Data Science expert who can bridge the gap between abstract model capabilities and rigorous, unbiased measurement. You will lead the charge on sampling strategies for various AI tasks, critically examine benchmark quality and validity, and perform deep-dive analysis on current frontier models’ failures and limitations. You will have the opportunity to conduct novel research, think creatively about measurement in uncharted territories, and contribute to the global AI community.
Data Scientist, Evaluations - Meta Superintelligence Labs Responsibilities:
  • Scientific Design & Validity: Lead the design of evaluation stimuli and benchmarks, ensuring they have minimal bias and high construct validity for frontier LLM capabilities
  • Experimental Methodology: Design and execute effective sampling strategies and experimental frameworks to measure model performance and errors accurately
  • Deep-Dive Analysis: Perform rigorous data and model error analyses to provide deep insights into model behavior, quality gaps, and failure modes
  • Collaborative Research: Partner closely with Research Scientists and Engineers to translate organizational priorities into measurable, scientifically sound benchmarks
  • External Impact: Drive the publication of novel evaluation research and the open-sourcing of benchmarks to influence the broader AI research community
  • Strategic Influence: Use data-driven insights to influence research directions and major model development lines within MSL

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
  • 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:
  • Advanced Quantitative Background: Master’s or Ph.D. in a quantitative or experimentation-heavy field (e.g., Statistics, Psychology, Economics, Quantitative Social Sciences, or a related technical field)
  • Publication Record: Publications at top-tier peer-reviewed venues (e.g., NeurIPS, ICML, ICLR, ACL, or field-specific journals) related to measurement, evaluation, or experimental design
  • Evaluation Expertise: Recognized expertise in language model evaluation, psychometrics, or the science of benchmarking
  • Open Source & Community: A track record of open-source contributions to evaluation tools, datasets, or benchmarks
  • Domain Knowledge: Familiarity with language model post-training, RLHF, or the nuances of LLM failure modes
  • 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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