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60 Facebook Data Scientist Jobs Hiring Near You

Meta

Data Scientist, Product Analytics

New York, NY · On-site

$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

Austin, TX

$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

Sunnyvale, 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

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 ...

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

$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 ...

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Meta Jobs Information

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What is it like to work at Facebook?

Facebook is a dynamic and innovative company that prioritizes collaboration, creativity, and inclusivity, fostering a culture that encourages employees to take risks and push boundaries. The company's work environment is characterized by open spaces, flexible work arrangements, and a focus on employee well-being, with various programs and resources available to support mental health, diversity, and community engagement. Working at Facebook may appeal to candidates who are passionate about technology, social impact, and innovation, and who are eager to contribute to a mission that aims to build technologies that help people connect, find communities and grow businesses.

Do workers at Meta get paid breaks?

Sometimes. Only some people get paid breaks.
40% of people say they don’t get paid breaks.
Based on data from 25 people who took the Breakroom Quiz between December 2024 and February 2026.

Does Meta pay people when they’re sick?

Sometimes. Only some people get paid when they’re sick.
42% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 38 people who took the Breakroom Quiz between December 2024 and February 2026.

At Meta, are sick days and vacation days separate paid time off?

Only some people have separate paid time off for sick days and vacation.
36% of people say they have to use vacation days when they’re out sick.
Based on data from 14 people who took the Breakroom Quiz between May 2025 and March 2026.

Is the health insurance from Meta affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 13 people who took the Breakroom Quiz between March 2025 and February 2026.

Do people get paid time off at Meta?

Most people get paid time off work.
83% of people say they get paid time off.
Based on data from 18 people who took the Breakroom Quiz between May 2025 and March 2026.

How far ahead of time do people find out their work schedule?

Most people find out their schedule less than four weeks ahead of time.
  • 82% of people with changing schedules find out their shifts one week or less ahead of time.
  • 9% of people with changing schedules find out their shifts two weeks ahead of time.
  • 0% of people with changing schedules find out their shifts three weeks ahead of time.
  • 9% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 11 people who took the Breakroom Quiz between December 2024 and July 2025.

Do workers at Meta worry about hours?

Most people don’t worry about getting enough hours.
89% of people report they don’t worry about getting enough hours.
Based on data from 27 people who took the Breakroom Quiz between December 2024 and February 2026.

Do Meta workers get to choose the shifts they work?

Most people get to choose which shifts they work.
69% report that they have enough control over which shifts they work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2025.

How easy is it for Meta workers to change shifts?

Most people find it easy to change shifts.
67% of people report that it’s easy to change shifts if they need to.
Based on data from 15 people who took the Breakroom Quiz between December 2024 and August 2025.

How easy is it to get time off at Meta?

Most people find it easy to get time off.
75% of people report it’s easy to get time off.
Based on data from 36 people who took the Breakroom Quiz between December 2024 and March 2026.

Do Meta managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
90% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 29 people who took the Breakroom Quiz between December 2024 and February 2026.

Do workers at Meta do extra work that they don't get paid for?

Rarely. Most people don’t do unpaid extra work.
33% of people report that they do extra work that they don’t get paid for.
Based on data from 24 people who took the Breakroom Quiz between December 2024 and February 2026.

How easy is it to take sick days at Meta?

Most people find it easy to take sick days.
84% of people report that it’s easy to take time off if they are sick.
Based on data from 37 people who took the Breakroom Quiz between December 2024 and February 2026.

Is working at Meta good if you’re a parent or caregiver?

Most parents and caregivers say this is a good place to work.
81% of people who care for a child or other relative report this is a good place to work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and January 2026.

Do people at Meta feel treated with respect by their managers?

Most people feel treated with respect by their managers.
76% of people say they’re treated with respect by their managers.
Based on data from 42 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people at Meta get to take their breaks without interruption?

Most people get breaks without interruption.
70% of people report that they get to take their breaks without interruption.
Based on data from 30 people who took the Breakroom Quiz between December 2024 and March 2026.

Is it stressful to work at Meta?

Most people feel stressed out here.
72% of people say they often feel stressed out at work.
Based on data from 36 people who took the Breakroom Quiz between December 2024 and February 2026.

Do people at Meta enjoy their jobs?

Most people enjoy their job.
78% of people report they enjoy their job.
Based on data from 37 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people at Meta recommend working with their team?

Only some people recommend working with their team.
38% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 42 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people get enough training when they start at Meta?

Some people didn’t get enough training when they started.
45% of people report they didn’t get enough training when they started working here.
Based on data from 40 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people get support to advance at Meta?

Only some people are given support to advance their career here.
In the last year, 38% of people report not being given support to advance their career here.
Based on data from 32 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people think Meta’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
68% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 37 people who took the Breakroom Quiz between December 2024 and February 2026.

Do workers feel well informed about how Meta is doing?

Only some people feel well informed about how the company is doing.
36% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 39 people who took the Breakroom Quiz between December 2024 and February 2026.
What other companies are hiring for Data Scientist jobs?
What are the most popular jobs at Facebook?
Data Scientist, Evaluations - Meta Superintelligence Labs

Data Scientist, Evaluations - Meta Superintelligence Labs

Meta

Menlo Park, CA • On-site

$177K/yr

Full-time

Posted 24 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 184 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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