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Meta Data Scientist Jobs in Texas (NOW HIRING)

Meta

Product Manager

Austin, TX

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 Manager

Austin, TX

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

Meta

System Assurance Manager

Austin, TX · On-site +1

$152K/yr

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 ...

Meta

Product Manager

Austin, TX

$173K/yr

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.

BARCEL USA LLC

10822 Power BI Specialist

Coppell, TX · On-site

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

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Showing results 21-40

All JobsMeta Data Scientist JobsMeta Data Scientist Jobs in Texas

Meta Data Scientist information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do meta data scientist jobs pay per year?

As of Aug 22, 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,350 per year, or $55 per hour.

Data Architect / Data Modeler (SAP)

First Genesis

Houston, TX • On-site

Contractor

Re-posted 12 days ago

Job description

Company Description
Job Description
Job Title: IT - Application - Data Modeler Level IV
Location: Houston, TX
Job Description:
Title: Data Architect/Data Modeler
Need: We have an immediate opening for a Data Design Lead on the Data and Analytics team. The team works closely with the business to proactively develop solutions, deliver training, and understand the current and future technologies needed to understand data.
Work environment: The work environment is fast paced and dynamic. Individuals will be handling multiple activities in a team as well as individual contributor environment.
Primary functions: data architecture, data development and design, data quality management, reference and master data management, data integration, data governance
Primary Deliverables: Data architecture, data workflow logical models, physical source data models, data profiling reports and data audits, data definitions, data taxonomy, data metrics, meta-data, data lineage, data cleansing services
Activities: data modeling, data audit, detailed data design, define rules, establish master data solutions, define hierarchies and affiliations, distribute reference and master data, profile/analyze/assess data quality, design data quality management procedures, clean and correct data quality defects, establish data governance
Requirements:
  • Demonstrate critical thinking, analytical skills, and employ judgment to offer thoughtful, concise input toward resolutions of problems.
  • Be able to translate data requirements into business processes and reverse engineer business processes into data requirements Comprehension of DevOps and Agile development and application to data centric architecture and solutions
  • Strong communication and interpersonal skills with strong English proficiency
  • Leadership skills needed to successfully promote ideas, coordinate work activities, and plan deliverables within a project team.
  • Minimum Bachelor's Degree in Engineering Technology, Computer Science, or closely related field.
  • A minimum of 5 years' experience in SAP Data Management and Governance, SAP Data Services (Data Extract, Data Profiling, de-duplication)
  • Advanced competency in TOAD for Oracle, SQL Server Database, SAP HANA, R Programming and Tableau

Technical Competencies:
  • Advanced expert database handling languages (SQL and variants)
  • Expert in data modeling (physical and logical), ER diagrams, data dictionary, data map, normalize/denormalize, agile data modeling
  • Expert in data manipulation tools such as: SSMS, SSIS, TOAD, Access, Excel, Info Steward, Data Services
  • Practical skill sets in BI and Data visualization tools
  • Knowledge of other programming languages and ability to write code (i.e. VBA, python, XML)
  • Working knowledge of ETL
  • Working knowledge of SAP
  • Basic Project Management and Business Process modeling

Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines. #3568

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