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Meta Data Science Jobs in Texas (NOW HIRING)

Meta is seeking a technically strong problem-solver to join the Data & System Assurance team within ... Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics ...

Experience translating data science findings into business-friendly results. * Experience presents ... meta-Learning, federated learning * Technical skills to consider and apply causal reasoning ...

New

Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy ... data science teams Minimum Qualifications: * Bachelor's degree in a relevant technical field ...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for ex.

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly.

... science role - Expertise in ML visualization flow - Expertise in optimizing distributed machine ... meta-Learning, federated learning - Technical skills to consider and apply causal reasoning ...

... meta data, and transformations. * Connecting and troubleshooting data sources, importing data, and ... computer science, related business field or proven work-related experience. Required: • ...

We are looking for a Data Analyst who thinks like a scientist. You won't just be building ... Experience analyzing funnel conversion, attribution models, and digital ad performance (Google/Meta ...

We are looking for a Data Analyst who thinks like a scientist. You won't just be building ... Experience analyzing funnel conversion, attribution models, and digital ad performance (Google/Meta ...

We are looking for a Data Analyst who thinks like a scientist. You won't just be building ... Experience analyzing funnel conversion, attribution models, and digital ad performance (Google/Meta ...

... meta data, and transformations. * Connecting and troubleshooting data sources, importing data, and ... computer science, related business field or proven work-related experience. Required: • ...

Showing results 21-40

Meta Data Science information

What are the typical daily responsibilities of a meta data science?

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?

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.

How to get a data science job at Meta?

To secure a data science job at Meta, candidates should have a strong background in statistics, programming (especially Python or R), and experience with data analysis and machine learning. Building a portfolio of relevant projects, gaining experience through internships, and demonstrating problem-solving skills are also important. Familiarity with tools like SQL, data visualization, and understanding of social media or tech platforms can enhance prospects.

What are the key skills and qualifications needed to thrive in meta data science?

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 do meta data scientists make?

Meta data scientists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning and data engineering can earn higher salaries, often exceeding $180,000 per year.
What are the most commonly searched types of Meta Data Science jobs in Texas? The most popular types of Meta Data Science jobs in Texas are:
What are popular job titles related to Meta Data Science jobs in Texas? For Meta Data Science jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Meta Data Science jobs? Cities in Texas with the most Meta Data Science job openings:
Infographic showing various Meta Data Science job openings in Texas as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

System Assurance Manager

Meta

Austin, TX • On-site, Remote

$152K/yr

Full-time

Posted 18 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 242 rated software companies


Job description

Meta is seeking a technically strong problem-solver to join the Data & System Assurance team within Global Controllership. In this role you will help govern and fortify Meta's complex global accounting systems, building data-driven solutions that keep our accounting accurate, controlled, and scalable as our product landscape evolves. You will use deep technical skills combined with a strong risk mindset to solve complex analytical and systems problems, develop a deep understanding of Meta's systems and code base and their downstream impact on accounting, and partner closely with engineering, product, and accounting teams to strengthen the control environment. You will support the launch of new products, transactions, and processes to ensure system readiness and compliance, and build AI-integrated solutions that let us do this work at scale.
System Assurance Manager Responsibilities:
  • Develop an end-to-end understanding of Meta's accounting products, processes, system dependencies, controls, and risks
  • Partner closely with engineering and product teams to design scalable data infrastructure and system solutions
  • Translate complex business and accounting rules into automated controls and continuous monitoring
  • Assess the SOX impact of new products and system changes, and support control design, testing, and remediation
  • Standardize and improve upstream data sources to strengthen accounting accuracy
  • Build and maintain monitoring and automation that surface risks and anomalies before they reach the financials
  • Leverage internal AI tools and build AI-integrated solutions to scale insights and operational efficiency
  • Communicate complex technical concepts clearly to accounting, audit, and engineering audiences

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics, Data Science, Finance, Economics, or equivalent)
  • 8+ years of relevant experience in analytics, engineering, finance systems, or a similar field working on systems and scaling processes
  • 3+ years of experience with SQL in a highly complex data environment
  • Track record of independently driving ambiguous, end-to-end technical workstreams with limited direction
  • Demonstrated success working with large, complex datasets
  • Experience partnering effectively with large, diverse cross-functional teams (Engineering, Finance, Operations)
  • Experience communicating complex concepts to a wide range of audiences

Preferred Qualifications:
  • Experience with modern data platforms and pipeline orchestration tools (e.g., Databricks, Spark, Airflow)
  • Familiarity with accounting, controllership, internal audit, and/or risk management principles
  • Experience with Python and building automation or monitoring
  • Familiarity or experience with IT audits, ITGCs, and/or SOX compliance
  • Experience building or applying AI tools to analytical or systems problems
  • Experience with data visualization tools (Tableau, Power BI, or similar)

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.
$152,000/year to $214,000/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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