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Meta Data Scientist Jobs in Texas (NOW HIRING)

Meta

Data Engineer, Product Analytics

Austin, TX · On-site +1

$147K/yr

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

Meta

Data Center Development Manager

Austin, TX

$170K/yr

Meta designs, builds, and operates some of the most advanced and efficient data center ... Bachelor's degree in Business, Planning, Engineering, Science or Environmental management * 5+ ...

Meta

Data Engineer, Product Analytics

Austin, TX · On-site +1

$177K/yr

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

HEB

Data Scientist - Demand Forecasting

San Antonio, TX · On-site

$158K/yr

As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include ... meta-Learning, federated learning - Technical skills to consider and apply causal reasoning ...

Meta

Data Analyst, Global Operations

Austin, TX

$125K/yr

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent ... You will partner with operational, data science, data engineering, and product teams globally to ...

New

Fliff

Senior Data Scientist

Austin, TX · On-site +1

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Fliff

Senior Data Scientist

Austin, TX · On-site

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Meta

ASIC Engineer, Design Verification

Austin, TX · On-site +1

$146K/yr

... for Meta's data center applications. You will be responsible for the verification closure of a ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Meta

ASIC Engineer, Design Verification

Austin, TX · On-site +1

$114K/yr

... Meta's data center infrastructure. You will own verification closure for design modules or sub ... Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer ...

Meta

ASIC Engineer, Design Verification

Austin, TX · On-site +1

$178K/yr

... Meta's data center infrastructure. In this role, you will lead the end-to-end verification of ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Meta

Data Center Capacity Engineer

El Paso, TX

$111K/yr

Meta is seeking a Data Center Capacity Engineer to help ensure our global data center ... data scientists, optimization and process engineers, capacity planners, supply chain, logistics ...

Launch Potato

Lead Data Scientist, AdTech

Austin, TX · Hybrid

$175K - $200K/yr

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... Modeling against ad-platform data points (Google, Meta, native) * LLMs / deep learning applied to ...

Launch Potato

Staff Data Scientist, Marketing

Austin, TX · Hybrid

$175K - $200K/yr

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... Modeling against ad-platform data points (Google, Meta, native) * LLMs / deep learning applied to ...

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All JobsMeta Data Scientist JobsMeta Data Scientist Jobs in Texas

Meta Data Scientist information

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$34.9K

$114.3K

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How much do meta data scientist jobs pay per year?

As of Aug 6, 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 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.

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 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Data Engineer, Product Analytics

Meta

Austin, TX • On-site, Remote

$147K/yr

Full-time

Re-posted 24 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 242 rated software companies

Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.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 Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications:
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$147,000/year to $208,000/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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