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Meta Data Scientist Jobs in Texas (NOW HIRING)

Meta

LINCS Security Engineer

Houston, TX

$162K/yr

Meta is seeking an experienced Security Engineer to join our Infrastructure Data Center (IDC ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Meta

Network Engineer, Optical Deployment

Houston, TX · On-site

$135K/yr

Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Meta

Production Systems Engineer, AI Systems

Austin, TX

$144K/yr

Meta is seeking a Hardware Systems Engineer to support the new product introduction (NPI) of next ... Guide data collection, analysis, and reporting efforts to surface systemic hardware quality trends ...

Meta

Business Support Engineer

Austin, TX

$114K/yr

As a Business Support Engineer working on Ads at Meta, you will primarily support on Meta's Ads ... Bachelor's degree in Computer Science, Engineering, or related technical field experience

Meta

ASIC Engineer, Physical Design

Austin, TX

$178K/yr

Meta is building custom silicon to power the next generation of infrastructure and consumer ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Meta

ASIC Engineer, Power

Austin, TX · On-site +1

$146K/yr

... Meta silicon design requirements Minimum Qualifications: * Bachelor's degree in Computer Science ... Familiarity with custom or semi-custom design flows for high-performance computing or data center ...

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$34.9K

$114.3K

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How much do meta data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for meta data scientist in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a Meta Data Scientist?

A Meta Data Scientist at Meta (formerly Facebook) uses data analysis, machine learning, and statistical techniques to drive business decisions and improve products. They work with large-scale datasets to extract insights, optimize algorithms, and enhance user experiences. Responsibilities often include A/B testing, predictive modeling, and collaborating with engineers and product teams. The role requires strong programming skills (Python, SQL, R), expertise in statistical analysis, and experience with data visualization. Typically, candidates have backgrounds in computer science, mathematics, or related fields.

What are some typical projects or challenges a Meta Data Scientist might encounter on the job?

As a Meta Data Scientist, you may work on projects ranging from large-scale data infrastructure optimization to advanced predictive modeling and experimentation. Challenges often include handling massive and complex datasets, ensuring data quality, and translating business needs into data-driven solutions. You'll likely collaborate closely with engineers, product managers, and other scientists to deliver impactful insights and scalable tools. This dynamic environment encourages creative problem-solving and offers opportunities for skill advancement and cross-functional learning. The role frequently involves balancing technical execution with clear communication to stakeholders.

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

To thrive as a Meta Data Scientist, you need a strong background in statistics, machine learning, data analytics, and computer science, often supported by an advanced degree in a relevant field. Familiarity with programming languages like Python or R, cloud computing platforms, big data tools such as Spark or Hadoop, and certifications in data science or analytics are highly valuable. Strong collaborative, problem-solving, and communication skills help foster insights and share results effectively across multidisciplinary teams. These skills are essential for building scalable models, generating actionable data-driven insights, and effectively contributing to organizational innovation.

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, location, and education. Senior roles or those with specialized skills in machine learning and data engineering can earn higher compensation, often exceeding $180,000 per year.

How to get a data science job at Meta?

To get a data science job at Meta, candidates should have strong skills in statistics, programming (Python or R), and data analysis, along with experience in machine learning and data visualization. A relevant degree in a quantitative field and a solid portfolio of projects or prior work can improve chances. Familiarity with tools like SQL, Hadoop, or Spark and understanding of the company's products and data infrastructure are also beneficial.

What are the most commonly searched types of Meta Data Scientist jobs in Texas?

The most popular types of Meta Data Scientist jobs in Texas are:

What are popular job titles related to Meta Data Scientist jobs in Texas?

For Meta Data Scientist jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Meta Data Scientist jobs in Texas look for?

The top searched job categories for Meta Data Scientist jobs in Texas are:

What cities in Texas are hiring for Meta Data Scientist jobs?

Cities in Texas with the most Meta Data Scientist job openings:

Meta Data Scientist jobs near you
Infographic showing various Meta Data Scientist job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 10% Part Time, 2% Temporary, and 7% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

LINCS Security Engineer

Meta

Houston, TX

$162K/yr

Full-time

Posted 12 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta is seeking an experienced Security Engineer to join our Infrastructure Data Center (IDC) Security & Compliance team as an individual contributor. As a key member of the team, you will play a critical role in managing risk for our rapidly scaling global infrastructure and operations portfolio spanning data centers, edge, backbone, subsea, and supply chain. Our mission is to design, implement, and maintain robust physical and logical security systems that ensure business continuity, protect customer data, and assure compliance with Meta’s security policies and regulatory requirements.
LINCS Security Engineer Responsibilities:
  • Serve as a comprehensive security expert accountable for security risk management across logical and physical security domains
  • Assess security risk and communicate information about security threats and vulnerabilities to inform business decisions and drive strategy
  • Assess and report on effectiveness of security controls to inform security strategy, manage security risk, and enable business operations
  • Engineer security solutions across the network, physical, and cyber/logical domains that efficiently protect Meta infrastructure from security threats at scale
  • Develop and operationalize security guidance (e.g., standards, guidelines, playbooks) to align corporate policy, industry best practices, and regulatory requirements into a unified strategy
  • Integrate security solutions throughout the entire data center lifecycle including: planning, design, construction, operations, refresh, and decommissioning
  • Develop and implement custom detection rules tailored to mechanical cooling and electrical systems supporting the facility operations of our data center buildings
  • Support security incident management across all domains, and including maintaining and troubleshooting infrastructure that supports network security tools

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 7+ years of experience in network security, infrastructure security, or telecommunications security, with demonstrated ownership of security programs in large-scale network environments
  • Bachelor's degree in a related field or equivalent additional experience
  • Technical experience across security domains
  • Experience in establishing, scaling, and maturing security projects and programs
  • Experience supporting security for large-scale and/or mission-critical infrastructure and operations
  • Basic understanding of network engineering fundamentals, such as TCP/IP, routing, switching, network segmentation, and protocol analysis
  • Basic understanding of network security, including the design, implementation, and management of secure network architectures for large-scale network infrastructure

Preferred Qualifications:
  • Experience working on or managing projects that have enterprise-wide impact and/or multi-organization, cross-functional stakeholders
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Advanced degree in a related field
  • Experience working directly in hyperscale data center programs or other large-scale mission-critical infrastructure
  • Background in intrusion detection, security investigations, and incident response
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience in managing, executing, and delivering multiple complex projects and programs by prioritizing based on impact, deadlines, and stakeholder needs
  • Understanding and awareness of prevailing industry standards and guidelines

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.
$162,000/year to $227,000/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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