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Full Time Meta Data Science Jobs (NOW HIRING)

Meta

Data Analyst, Global Operations

Seattle, WA · On-site

$125K/yr

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent ... You will partner with operational, data science, data engineering, and product teams globally to ...

Meta

Data Scientist (Technical Leadership)

Sunnyvale, CA · On-site

$210K - $281K/yr

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 ...

CBRE

Meta Installer Program

Cheyenne, WY · On-site

$25/hr

After successful completion, graduates transition into a permanent, full-time role as a Fiber Installer at a Meta Data Center. Note applicants must be currently authorized to work in the United ...

Meta

Research Scientist, Advanced Control

Menlo Park, CA · On-site

$184K - $257K/yr

At Meta IDC (Infrastructure Data Center), our goal is to deliver the trusted capacity that powers ... science or engineering discipline • 8+ years of experience spanning advanced control (e.g., MPC ...

CBRE

Meta Installer Program

Columbus, OH · On-site

$25/hr

After successful completion, graduates transition into a permanent, full-time role as a Fiber Installer at a Meta Data Center. Note applicants must be currently authorized to work in the United ...

CBRE

Meta Installer Program

Cedar Rapids, IA · On-site

$25/hr

After successful completion, graduates transition into a permanent, full-time role as a Fiber Installer at a Meta Data Center. Note applicants must be currently authorized to work in the United ...

CBRE

Meta Installer Program

Mclean, VA · On-site

$25/hr

After successful completion, graduates transition into a permanent, full-time role as a Fiber Installer at a Meta Data Center. Note applicants must be currently authorized to work in the United ...

Medpace, Inc.

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site +1

$109K - $132K/yr

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, ... Bachelor's Degree in Computer Science, Data Science, or a related field; * 1-3+ years of experience ...

Omnicom

Director, Data Science

Los Angeles, CA · Hybrid

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ...

Omnicom

Director, Data Science

Los Angeles, CA · On-site

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ...

Omnicom

Data Science Director

New York, NY · On-site

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Meta (Blueprint), SQL, Python, R (online) * Expert-level domain knowledge of business/industry ...

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Full Time Meta Data Science information

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$122.7K

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

As of Sep 11, 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.

How much do full time Meta Data Science make?

Full-time Meta Data Science roles typically have a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and education. Senior positions or those with specialized skills in machine learning and data engineering can earn higher salaries, often exceeding $180,000 annually.
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Full Time Meta Data Science jobs near you
Infographic showing various Full Time Meta Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% 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 Analyst, Global Operations

Seattle, WA • On-site

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

$125K/yr

Full-time

Re-posted 8 days ago

Key responsibilities

  • Partner with operational, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions

  • Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta

  • Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent tools that is transforming how we drive impact through data & analytics. As a data analyst in global operations, you’ll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic decision-making and operational efficiency at a global scale. You will partner with operational, data science, data engineering, and product teams globally to optimize processes, automate workflows, provide data-driven insights, and uplift the team’s proficiency in leveraging new technologies.
Data Analyst, Global Operations Responsibilities:
  • Partner with operations, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions
  • Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta
  • Champion the adoption and integration of AI tooling within analytics workflows, educating and uplifting team proficiency in modern solutions and innovative thinking
  • Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes
  • Continuously explore and experiment with emerging technologies and automation methods to advance the team’s analytics offerings

Minimum Qualifications:
  • 7+ years of experience in analytics, operations, product, engineering, or related fields—ideally within deadline-focused tech environments or consulting
  • Bachelor’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or equivalent practical experience
  • Advanced proficiency in SQL, and experience with Python, for data analysis and automation
  • Proven experience building and deploying scalable data pipelines and productionizing dashboards using BI tools (e.g., Tableau)
  • Track record of proactively using AI tools to drive productivity and innovation across projects and teams (bonus for championing AI adoption and education within teams)
  • Solid understanding of statistical analysis with practical application to real-world business problems
  • Demonstrated ability to independently manage analytics projects end-to-end, from problem definition to business adoption and impact measurement

Preferred Qualifications:
  • Master’s degree or higher in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, or a related field
  • Hands-on experience with AI/ML model development, deployment, and/or integration

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.
$125,000/year to $178,000/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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