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Full Time Meta Data Science Jobs (NOW HIRING)

Meta

Data Science Director

Menlo Park, CA · On-site

$253K - $314K/yr

You will play a critical role in helping Meta build the platforms of the future. You will partner ... Responsibilities Inspire, lead and grow a distributed team of data scientists and data science ...

Meta

Data Science Director

Menlo Park, CA

$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

Director, Marketing Data Science

Austin, TX

$253K/yr

Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies ... work experience in data science or decision science (or 8+ years experience with a Ph.D ...

Meta

Director, Marketing Data Science

Austin, TX · On-site

$253K - $314K/yr

Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies ... work experience in data science or decision science (or 8+ years experience with a Ph.D ...

Medpace

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$111.70K - $134.20K/yr

They are seeking a full-time Data Engineer to join their AI team, focusing on handling ... Required : • Bachelor's Degree in Computer Science, Data Science, or a related field • 1-3+ ...

New

Meta

Director, Data Licensing Partnerships

Menlo Park, CA · On-site

$296K - $356K/yr

Meta is seeking a hands-on leader to build and scale the Data Licensing Partnerships function. As ... Computer Science, Business, or a related technical field Preferred Qualifications • Advanced ...

CBRE

Level Up Installer Program by Meta

Cedar Rapids, IA · On-site

$25/hr

Graduate successfully, and you'll transition into a permanent, full-time as a Fiber Installer at a Meta Data Centers. Whether you're local and ready to commute-or a road warrior ready to travel, this ...

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How much do full time meta data science jobs pay per year?

As of May 30, 2026, the average yearly pay for full time meta data science 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 is the difference between Full Time Meta Data Science vs Full Time Data Analyst?

AspectFull Time Meta Data ScienceFull Time Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams within tech companies, often involving machine learning and AI projectsBusiness-focused environments, supporting decision-making through data reporting and visualization
Employer & Industry UsagePrimarily in tech, e-commerce, and social media companies like MetaAcross various industries including finance, marketing, and healthcare

Full Time Meta Data Scientists focus on developing advanced models and algorithms to extract insights from large datasets, often involving machine learning. In contrast, Full Time Data Analysts primarily interpret data through reports and visualizations to support business decisions. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and modeling.

More about Full Time Meta Data Science jobs
What cities are hiring for Full Time Meta Data Science jobs? Cities with the most Full Time Meta Data Science job openings:
What are the most commonly searched types of Meta Data Science jobs? The most popular types of Meta Data Science jobs are:
What job categories do people searching Full Time Meta Data Science jobs look for? The top searched job categories for Full Time Meta Data Science jobs are:
Full Time Meta Data Science jobs near you
Infographic showing various Full Time Meta Data Science job openings in the United States as of May 2026, with employment types broken down into 44% Full Time, 55% Part Time, and 1% Temporary. Highlights an 83% Physical, 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

Menlo Park, CA

$177K/yr

Full-time

Posted 26 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 183 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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