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Facebook Data Scientist Jobs (NOW HIRING)

Meta

Data Scientist (Technical Leadership)

Seattle, WA · On-site +1

$210K/yr

We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data ...

Meta

Data Scientist (Technical Leadership)

$210K/yr

We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data ...

Meta

Data Scientist (Technical Leadership)

Sunnyvale, CA · On-site +1

$210K/yr

We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data ...

Meta

Data Scientist (Technical Leadership)

New York, NY · On-site +1

$210K/yr

We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data ...

Brilent

Data Scientist Intern

San Mateo, CA · On-site

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. As a data scientist intern, you will work ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

... Facebook, Instagram, and YouTube. The Research and Analytics Division ("RAD") performs economic ... The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

... Facebook, Instagram, and YouTube. The Research and Analytics Division ("RAD") performs economic ... The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

$125K - $150K/yr

... Facebook, Instagram, and YouTube. The Research and Analytics Division ("RAD") performs economic ... The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ...

Meta

Data Scientist (Technical Leadership)

Sunnyvale, CA · On-site

$210K - $281K/yr

We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others! As a Data ...

Chenega Systems

Senior Data Scientist

Arlington, VA · On-site

$220K/yr

Overview Senior Data Scientist Arlington, VA Are you ready to enhance your skills and build your ... Chenega MIOS web site - www.chenegamios.com Glassdoor - LinkedIn - Facebook - #Chenega Systems, LLC ...

Meta

Data Scientist, Product Analytics

Redmond, 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

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 ...

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Facebook Data Scientist information

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$122.7K

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How much do facebook data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for facebook 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 does a Facebook Data Scientist do?

A Facebook Data Scientist analyzes large sets of data to provide insights that guide decision-making across various teams at Facebook (now Meta). They use statistical analysis, machine learning, and data visualization techniques to solve business problems, improve user experience, and drive product development. Their work often involves collaborating with engineers, product managers, and designers to test hypotheses, measure the impact of new features, and optimize processes. Data Scientists at Facebook play a crucial role in shaping the company's strategies using data-driven methods.

What types of projects do Facebook Data Scientists typically work on, and how do they collaborate with other teams?

Facebook Data Scientists often work on projects that involve analyzing large-scale user data to drive product improvements, optimize algorithms, and support business decisions. They regularly collaborate with product managers, engineers, and designers, contributing data-driven insights to shape product direction and strategy. Data Scientists also partner with other analytics and research teams to validate hypotheses and ensure robust methodologies. This cross-functional collaboration is essential for translating complex analyses into impactful product changes and measurable business outcomes.

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

To excel as a Facebook Data Scientist, you need a solid background in statistics, data analysis, and computer science, typically supported by a relevant degree and experience in quantitative research. Proficiency with SQL, Python or R, data visualization tools, and familiarity with big data platforms like Hadoop or Spark are commonly required, along with experience using machine learning libraries. Strong communication, problem-solving abilities, and collaboration skills help differentiate top performers in this role. These competencies are vital for translating complex data into actionable insights that drive strategic business decisions at scale.

Are Facebook Data Scientist jobs still in demand?

Facebook Data Scientist roles remain in demand due to ongoing needs for data analysis, machine learning, and user behavior insights within social media platforms. These positions typically require strong skills in statistics, programming, and data visualization, and are often available at major tech companies and social media firms. The demand is driven by the importance of data-driven decision-making in digital advertising and platform optimization.
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Facebook Data Scientist jobs near you
Infographic showing various Facebook Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist (Technical Leadership)

Seattle, WA • On-site, Remote

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$210K/yr

Full-time

Re-posted 16 days ago

Key responsibilities

  • Collaborate with cross-functional teams to analyze large and complex data sets and develop strategies for products.

  • Identify, test, and measure opportunities to improve products through data analysis, experimentation, and statistical approaches.

  • Partner with product, engineering, and other teams to inform and support product strategy and investment decisions.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

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 product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist (Technical Leadership) Responsibilities:
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Understand and identify opportunities to more responsibly leverage cutting edge technology
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
  • Navigate ambiguity and complexity by forming clear hypotheses, making data-driven decisions, and proactively identifying areas for deeper investigation

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in data science or analytics, leading analytics work in an 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
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • 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)

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.
$210,000/year to $281,000/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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