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Facebook Data Scientist Jobs in Texas (NOW HIRING)

PeopleVisor

Data Scientist

Irving, TX · On-site

Peoplevisor is seeking an experienced Data Scientist who will support our product, sales ... Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

Meta

Data Scientist, Product Analytics

Austin, TX

$177K/yr

As a Data Scientist 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 ...

Meta

Data Scientist, Product Analytics

Austin, TX

$147K/yr

As a Data Scientist 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 ...

ChampionX

Data Scientist - AI Solutions

Sugar Land, TX · On-site

The Data Scientist - AI Solutions will focus on developing practical AI-enabled solutions ... Follow us on Facebook at @We Our Commitment to Diversity and Inclusion We believe the best teams ...

New

Brillio Inc

Data Scientist / R Modeller

Irving, TX · On-site

On Facebook at BrillioGlobal. On Twitter @BrillioGlobal. Description: * Troubleshoot problems encountered by customers * Develop customer-facing documentation for our website and other venues * File ...

Brillio Inc

Data Scientist / R Modeller

Irving, TX

On Facebook at BrillioGlobal. On Twitter @BrillioGlobal. Description: * Troubleshoot problems encountered by customers * Develop customer-facing documentation for our website and other venues * File ...

Meta

Data Analyst, Global Operations

Austin, TX

$125K/yr

You will partner with operational, data science, data engineering, and product teams globally to ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

American Heart Association

Data Warehouse Developer

Dallas, TX · On-site +1

$45.25 - $62/hr

Be Valued at the American Heart Association by following us on LinkedIn, Instagram, Facebook, X ... Works as a part of a dynamic team of biomedical researchers, database designers, data scientists ...

American Heart Association

Data Warehouse Developer

Dallas, TX · On-site +1

$48.75 - $66.75/hr

Be Valued at the American Heart Association by following us on LinkedIn, Instagram, Facebook, X ... Works as a part of a dynamic team of biomedical researchers, database designers, data scientists ...

Facebook App

Product Manager

Austin, TX

$205K/yr

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

DSV A/S

Tender Specialist, Data Management

Lancaster, TX · On-site

$65K - $75K/yr

Visit dsv.com and follow us on LinkedIn and Facebook. Location: USA - Lancaster, Midpoint Dr ... Bachelor's degree in marketing, business, data science, logistics, or a related field. * Minimum of ...

Optimal

Marketing Data Analyst

Austin, TX · On-site

... Facebook Ads and understand what is happening with performance. Draw insights with your ... science, business intelligence, or a related field. * 2+ years of experience in performance ...

Genpact

Solution Architect - Data and Analytics 3

Plano, TX · On-site +1

$60.25 - $79.50/hr

Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook. Responsibilities ... Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics ...

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All JobsFacebook Data Scientist JobsFacebook Data Scientist Jobs in Texas

Facebook Data Scientist information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do facebook data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for facebook 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 does a Facebook Data Scientist do?

A Facebook Data Scientist analyzes large sets of data to provide insights that guide decision-making across various teams at Facebook (now Meta). They use statistical analysis, machine learning, and data visualization techniques to solve business problems, improve user experience, and drive product development. Their work often involves collaborating with engineers, product managers, and designers to test hypotheses, measure the impact of new features, and optimize processes. Data Scientists at Facebook play a crucial role in shaping the company's strategies using data-driven methods.

What types of projects do Facebook Data Scientists typically work on, and how do they collaborate with other teams?

Facebook Data Scientists often work on projects that involve analyzing large-scale user data to drive product improvements, optimize algorithms, and support business decisions. They regularly collaborate with product managers, engineers, and designers, contributing data-driven insights to shape product direction and strategy. Data Scientists also partner with other analytics and research teams to validate hypotheses and ensure robust methodologies. This cross-functional collaboration is essential for translating complex analyses into impactful product changes and measurable business outcomes.

What are the key skills and qualifications needed to thrive as a Facebook Data Scientist, and why are they important?

To excel as a Facebook Data Scientist, you need a solid background in statistics, data analysis, and computer science, typically supported by a relevant degree and experience in quantitative research. Proficiency with SQL, Python or R, data visualization tools, and familiarity with big data platforms like Hadoop or Spark are commonly required, along with experience using machine learning libraries. Strong communication, problem-solving abilities, and collaboration skills help differentiate top performers in this role. These competencies are vital for translating complex data into actionable insights that drive strategic business decisions at scale.

Are Facebook Data Scientist jobs still in demand?

Facebook Data Scientist roles remain in demand due to ongoing needs for data analysis, machine learning, and user behavior insights within social media platforms. These positions typically require strong skills in statistics, programming, and data visualization, and are often available at major tech companies and social media firms. The demand is driven by the importance of data-driven decision-making in digital advertising and platform optimization.

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

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

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

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

Facebook Data Scientist jobs near you
Infographic showing various Facebook Data Scientist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Data Scientist

PeopleVisor

Irving, TX • On-site

Full-time

Re-posted 19 days ago

Job description

Peoplevisor is seeking an experienced Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights.
KEY EXPECTATIONS
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

DESIRED SKILLS AND EXPERIENCE
  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • 5-7 years of experience manipulating data sets and building statistical models.
  • Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
    • Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
    • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
    • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
    • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
    • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Employer's Rights:
Peoplevisor, LLC. has the right to revise this job description at any time. This job description is not a contract for employment. This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based upon your performance of the tasks listed in this job description.
Equal Opportunity Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran.
Applications for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Peoplevisor, LLC.

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