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Full Time Meta Data Science Jobs (NOW HIRING)

Meta

Data Science Director

Bellevue, WA

$314K/yr

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 ...

Meta

Data Science Director

Menlo Park, CA

$314K/yr

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 ...

Meta

Data Science Director

New York, NY

$314K/yr

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 ...

Meta

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 ...

Meta

Data Science Director

Menlo Park, CA

$253K/yr

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 ...

Meta

Director, Marketing Data Science

Seattle, WA

$253K/yr

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 ...

Meta

Director, Marketing Data Science

Menlo Park, CA

$253K/yr

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 ...

Meta

Director, Marketing Data Science

Washington, DC

$253K/yr

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 ...

Meta

Director, Marketing Data Science

Austin, TX

$253K/yr

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 ...

Meta

Director, Marketing Data Science

New York, NY

$253K/yr

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 ...

Meta

Director, Marketing Data Science

Bellevue, WA

$253K/yr

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 ...

Meta

Director, Marketing Data Science

Chicago, IL

$253K/yr

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 ...

Meta

Data Scientist

Menlo Park, CA

$210K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

Meta

Data Scientist

Menlo Park, CA · On-site

$210K - $281K/yr

Minimum Qualifications • Bachelor's degree in Computer Science, Computer Engineering, relevant ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

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All JobsMeta Data Science JobsFull Time Meta Data Science Jobs

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:
What job categories do people searching Full Time Meta Data Science jobs look for? The top searched job categories for Full Time Meta Data Science jobs are:
Full Time Meta Data Science jobs near you
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.

VP of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Posted 4 days ago

New

Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
Our Data & Analytics organisation builds the products, platforms and intelligence that power every marketing, product and commercial decision across the business. We're looking for a Data Science leader who believes machine learning only creates value when it changes business decisions.
This is an opportunity to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term business growth.
You'll lead a growing team of Data Scientists while partnering closely with Engineering, Analytics, Product and Commercial teams to ensure predictive models become trusted, production-ready products that drive measurable commercial outcomes. As we continue investing in first-party data, AI, machine learning and advanced marketing measurement, we're looking for an experienced Data Science leader to help shape the next phase of our commercial Data Science capability.
Responsibilties:
  • Commercial Data Science: Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. You'll shape capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting and value-based bidding, ensuring every model is linked to measurable business outcomes.
  • Marketing Science & Decision Science: Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. You'll help define how predictive analytics, experimentation and AI improve campaign performance, customer understanding and strategic decision making across platforms including Google and Meta.
  • Production Data Science: Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products rather than one-off analyses. You'll champion reproducible experimentation, scalable deployment, model monitoring, retraining strategies and continuous improvement throughout the model lifecycle.
  • Leadership & Stakeholder Management: Lead and develop a growing team of Data Scientists while building trusted relationships across the business. You'll translate complex modelling into clear commercial recommendations, influence senior stakeholders through evidence, and help establish Data Science as a trusted driver of business strategy and commercial growth.
  • Innovation & Industry Leadership: Represent Forbes in strategic conversations with technology partners including Google and Meta while staying connected to advances in AI, machine learning and marketing science. You'll evaluate emerging technologies, bring new ideas into the organisation and help ensure our Data Science capability remains commercially relevant and technically leading.

Qualifications:
  • Experience leading commercial Data Science, Marketing Science or Decision Science teams.
  • Strong expertise in predictive analytics, customer analytics, machine learning and statistical modelling.
  • Experience applying Data Science to marketing performance, customer acquisition, lifetime value or value-based bidding.
  • Experience productionising machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams.
  • Strong understanding of SQL, Python and modern machine learning frameworks.
  • Experience working with Google Ads, Meta or other major advertising platforms.
  • Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences.
  • Experience building and developing high-performing Data Science teams.
  • Strong commercial judgement, balancing technical excellence with measurable business impact.
  • A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value.

Nice to Have
  • Experience within affiliate marketing, digital publishing or lead-generation businesses.
  • Experience working in financial services, insurance or regulated industries.
  • Experience working directly with Google or Meta Data Science teams.
  • Experience with attribution modelling and marketing measurement.
  • Experience building optimisation algorithms for DSPs or advertising platforms.
  • Experience with causal inference, experimentation frameworks or incrementality testing.
  • Experience forecasting marketing or commercial performance.
  • Experience with Vertex AI or equivalent cloud-based machine learning platforms.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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