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Full Time Meta Data Science Jobs (NOW HIRING)

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

You will play a critical role in helping Meta build the platforms of the future. You will partner ... Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ...

You will play a critical role in helping Meta build the platforms of the future. You will partner ... Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ...

Data Science Director

Menlo Park, CA · On-site

$253K - $314K/yr

You will play a critical role in helping Meta build the platforms of the future. You will partner ... Responsibilities Inspire, lead and grow a distributed team of data scientists and data science ...

You will play a critical role in helping Meta build the platforms of the future. You will partner ... Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ...

You will play a critical role in helping Meta build the platforms of the future. You will partner ... Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ...

Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies ... work experience in data science or decision science (or 8+ years experience with a Ph.D ...

Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies ... work experience in data science or decision science (or 8+ years experience with a Ph.D ...

Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies ... work experience in data science or decision science (or 8+ years experience with a Ph.D ...

Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies ... work experience in data science or decision science (or 8+ years experience with a Ph.D ...

Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies ... work experience in data science or decision science (or 8+ years experience with a Ph.D ...

Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies ... work experience in data science or decision science (or 8+ years experience with a Ph.D ...

Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies ... work experience in data science or decision science (or 8+ years experience with a Ph.D ...

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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 Aug 1, 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, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Science Director (IC)

Meta

Sunnyvale, CA

$253K/yr

Full-time

Posted 15 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 241 rated software companies


Job description

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes state-of-the-art Machine Learning/AI to ensure every ad impression is meaningful. It is central to the entire ads experience we offer to users and advertisers and generates the vast majority of Meta’s revenue. The mission of this role is to drive data-informed decisions and shape the long-term strategic direction and operational model of the Monetization AI Ranking space in an IC capacity.The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large-scale AI development, measurement, and data product management, and will be enthusiastic about cutting-edge AI advancements. They should have a proven ability to influence executives through their data, framing, technical, and communication skills.
Data Science Director (IC) Responsibilities:
  • Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space
  • Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale
  • Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact
  • Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities
  • Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years of experience in analytics and data science, 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 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
  • 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)
  • 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.
$253,000/year to $314,000/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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