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Meta Data Science Jobs (NOW HIRING)

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 platfor.

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 platfor.

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$111K - $134K/yr

Required : • Bachelor's Degree in Computer Science, Data Science, or a related field • 1-3+ ... meta-data • Knowledge of developing dimensional data models from unstructured content and ...

Meta is seeking a skilled and motivated Data Scientist to join our Infrastructure Data Centers team. As a lead data scientist, you will partner with sta.

Meta is seeking a skilled and motivated Data Scientist to join our Infrastructure Data Centers team. As a lead data scientist, you will partner with sta.

Data Architect

Clark, NJ · On-site

$66 - $84.75/hr

Data Scientist Primary functions: data acquisition method development and design, scientific data ... meta-data, data cleansing services Activities: data modeling, data audit, detailed data design ...

Data Architect

Clark, NJ · On-site

$66 - $84.75/hr

Data Scientist Primary functions: data acquisition method development and design, scientific data ... meta-data, data cleansing services Activities: data modeling, data audit, detailed data design ...

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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 Scientist, Evaluations - Meta Superintelligence Labs

Data Scientist, Evaluations - Meta Superintelligence Labs

Meta

New York, NY

Other

Posted 27 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

Meta is seeking a Data Scientist to join the Evaluations team within Meta Superintelligence Labs (MSL). Evaluations are the core of AI progress at MSL, ...


What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

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