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Facebook Data Scientist Jobs (NOW HIRING)

Meta

Data Scientist, Product Analytics

New York, NY · On-site

$147K/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 · On-site

$147K/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 · On-site

$147K/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 ...

Databricks

Senior Data Scientist

Mountain View, CA · On-site

As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks ... To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Our Commitment to Diversity and ...

Meta

Data Scientist, Product Analytics

Sunnyvale, CA · On-site

$147K/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

Redmond, WA · On-site

$147K/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

Burlingame, CA · On-site

$147K/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 · On-site

$147K/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 · 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

Menlo Park, CA

$147K/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 · 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 ...

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Senior Data Scientist Who you are: You are someone who takes pride in your work, seeks order in ... Ads and DV360), Facebook/Instagram, TikTok, LinkedIn, Snapchat, Pinterest and more * Develop ...

Chenega Corporation

Senior Data Scientist

Arlington, VA · On-site

$220K/yr

Summary 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

Burlingame, 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 ...

AbbVie

Principal Data Scientist

Florham Park, NJ · On-site

Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. The Analytics and Performance ... The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products ...

AbbVie

Principal Data Scientist

Mettawa, IL · On-site

Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. The Analytics and Performance ... The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products ...

Meta

Data Scientist, Product Analytics

Menlo Park, CA · 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 ...

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All JobsFacebook Data Scientist Jobs

Facebook Data Scientist information

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$37.5K

$122.7K

$196.5K

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, Product Analytics

New York, NY • On-site

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

$147K/yr

Full-time

Re-posted 23 days ago

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

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, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, 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 world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product 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, Product Analytics 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
  • 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

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
  • 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
  • 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]

Preferred Qualifications:
  • 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.
$147,000/year to $208,000/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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