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Meta Data Science Jobs (NOW HIRING)

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 ...

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 Scientist

Menlo Park, CA · On-site +1

$147K/yr

... data science functions to translate Meta's Infrastructure Data Centers' data into value. You will have the opportunity to work on a wide range of data science projects, such as developing an ...

Data Scientist

Bellevue, WA · On-site +1

$147K/yr

... data science functions to translate Meta's Infrastructure Data Centers' data into value. You will have the opportunity to work on a wide range of data science projects, such as developing an ...

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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Meta Data Science information

What are typical daily responsibilities for someone in a Meta Data Science role?

In a Meta Data Science role, your daily tasks often involve analyzing large datasets to extract insights, developing and validating predictive models, and communicating findings to diverse teams. You will work closely with product managers, engineers, and other data professionals to design experiments and optimize business strategies. The role frequently requires presenting complex analyses in approachable terms and iterating on data solutions in response to feedback. You may also contribute to the development of internal data tools or pipelines, ensuring data quality and accessibility across the organization.

What is a Meta Data Science job?

A Meta Data Science job involves using data analysis, machine learning, and statistical techniques to drive insights and decision-making at Meta. Data scientists in this role work with large-scale datasets to optimize products, improve user experiences, and develop predictive models. They collaborate with engineers, product managers, and researchers to solve complex business problems. The role requires expertise in programming, data visualization, and experimental design to extract meaningful information from data.

Does Meta hire data scientists?

Yes, Meta regularly hires data scientists to analyze user data, improve products, and develop machine learning models. Candidates typically need strong skills in statistics, programming (such as Python or R), and experience with data analysis tools and large datasets.

What are the key skills and qualifications needed to thrive in the Meta Data Science position, and why are they important?

To excel in Meta Data Science, a strong background in statistics, machine learning, and data analysis, often supported by an advanced degree in a quantitative field, is essential. Proficiency in programming languages like Python or R, experience with big data platforms (such as Hadoop or Spark), and knowledge of data visualization tools are typically required, as well as relevant certifications like those from Google, AWS, or Microsoft. Exceptional problem-solving, communication, and teamwork skills set top candidates apart in this collaborative and data-driven environment. These competencies enable professionals to generate actionable insights, build scalable models, and effectively communicate findings to both technical and non-technical stakeholders.

How much does a meta data scientist make?

A data scientist at Meta typically earns between $100,000 and $160,000 annually, with senior roles exceeding $200,000. Compensation varies based on experience, location, and skills in data analysis, machine learning, and programming tools like Python or R.

Is 40 too late for data science?

Meta Data Science roles, like many data science positions, do not have strict age limits. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding machine learning concepts. Age should not be a barrier if you have relevant expertise and stay current with industry tools and techniques.

What does a Data Scientist at Meta do exactly?

A Data Scientist at Meta analyzes large datasets to identify patterns, develop models, and generate insights that inform product development and business strategies. They use statistical techniques, machine learning tools, and programming languages like Python or R to solve complex problems and improve user experience. Strong analytical skills and knowledge of data visualization are essential in this role.
What cities are hiring for Meta Data Science jobs? Cities with the most 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 Meta Data Science jobs? States with the most job openings for Meta Data Science jobs include:
Infographic showing various Meta Data Science job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Science Director

Data Science Director

Meta

New York, NY

$314K/yr

Full-time

Posted 3 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

124th of 192 rated software companies


Job description

We’re looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, leadProduct leadership: You will use data to shape 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 broad 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 Science Director Responsibilities:
  • Inspire, lead and grow a distributed team of data scientists and data science leaders across North America and Europe.
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
  • Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
  • Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.

Minimum Qualifications:
  • 15+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development
  • Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
  • Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses
  • Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments
  • Experience working effectively with multiple stakeholders and cross-functionally
  • Effective communication skills

Preferred Qualifications:
  • Experience with both product and business analytics work and demonstrated to deliver an integrated approach

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.
$314,000/year to $361,000/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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