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Full Time Meta Data Science Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

... meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text ... data science, including the areas of data collection processing exploitation, transformation ...

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 ...

The data science team is very much applied - their work directly makes its way into real products ... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ...

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 ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

... meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text ... data science, including the areas of data collection processing exploitation, transformation ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

The data science team is very much applied - their work directly makes its way into real products ... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ...

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Full Time Meta Data Science information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 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.

Is 40 too late for data science?

Full Time Data Science roles typically value skills and experience over age, and many professionals transition into data science later in their careers. Success depends on acquiring relevant knowledge, such as programming, statistics, and tools like Python or R, and demonstrating your ability to solve complex problems regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Does Meta hire data scientists?

Yes, Meta hires data scientists to analyze large datasets, develop algorithms, and support product decisions. Candidates typically need strong skills in statistics, programming (such as Python or R), and experience with machine learning tools. The role often requires a relevant degree and experience in data analysis or related fields.

How much does a meta data scientist make?

A data scientist working at Meta typically earns between $100,000 and $160,000 annually, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning or big data may have higher compensation, often including bonuses and stock options.

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 states have the most Full Time Meta Data Science jobs? States with the most job openings for Full Time Meta Data Science jobs include:
Infographic showing various Full Time Meta Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist, Analytics (Technical Leadership)

Data Scientist, Analytics (Technical Leadership)

Meta

San Francisco, CA

$210K/yr

Full-time

Posted 22 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies


Job description

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Data Scientist, Analytics (Technical Leadership) Responsibilities:
  • Work with complex data sets to solve challenging problems using analytical and statistical approaches
  • Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
  • Identify and measure success through goal setting, forecasting, and monitoring key metrics
  • Partner with cross-functional teams to inform and execute product strategy and investment decisions
  • Build long-term vision and strategy for programs and products
  • Collaborate with executives to define and develop data platforms and instrumentation
  • Effectively communicate insights and recommendations to stakeholders
  • Define success metrics, forecast changes, and set team goals
  • Support developing roadmaps and coordinate analytics efforts across teams

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
  • 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Experience communicating complex technical topics in a clear, precise, and actionable manner

Preferred Qualifications:
  • 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
  • Masters or Ph.D. Degree in a quantitative field
  • Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
  • 10+ years of experience doing complex quantitative analysis in product analytics
  • 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.
$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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