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Meta Data Science Jobs in Texas (NOW HIRING)

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Execute on projects by working closely with Product, Sales, Data Science, and other partners.

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

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

... Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in performance and ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

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Meta Data Science information

What are typical daily responsibilities for someone in a Meta Data Science role?

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 jobs will no longer exist in 2030?

By 2030, roles heavily reliant on routine manual tasks, such as data entry clerks and certain assembly line positions, are expected to decline due to automation and AI advancements. Data science roles like Meta Data Science will evolve, with some tasks automated, but the need for advanced analytical skills and machine learning expertise will continue to grow. Overall, jobs that can be fully automated or replaced by AI are at higher risk of disappearing or transforming significantly.

What is a Meta Data Science job?

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.

Does Meta hire data scientists?

Yes, Meta regularly hires data scientists to analyze user data, improve products, and develop machine learning models. Candidates typically need strong skills in statistics, programming (such as Python or R), and experience with data analysis tools and large datasets.

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

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 does a meta data scientist make?

A data scientist at Meta typically earns between $100,000 and $160,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with higher salaries often associated with advanced skills in machine learning and data analysis tools.

Is 40 too late for data science?

Meta Data Science roles, like many data science positions, do not have strict age limits. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding machine learning concepts. Age should not be a barrier if you have relevant expertise and stay current with industry tools and techniques.
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 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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Scaled Business Growth

Scaled Business Growth

Meta

Austin, TX • Remote

$134K/yr

Full-time

Re-posted 14 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies


Job description

Meta empowers millions of businesses to connect with customers and drive real business outcomes. Scaled Business Marketing (SBM) is looking for a Scaled Business Growth Marketer to design data-driven programs that help businesses discover, adopt, and maximize the value of Meta's products. You'll work with cross-functional teams to unlock new opportunities, remove friction in the customer journey, scale high-impact solutions that drive measurable results, and help millions of businesses around the world succeed. This role requires someone who can analyze data & understand market trends to identify opportunities/challenges, design globally scalable marketing strategies and experiment/iterate while operationalizing what works to drive sustained business impact.
Scaled Business Growth Responsibilities:
  • Lead marketing growth strategy across a large area and drive cross-team alignment.
  • Identify and size marketing opportunities to drive material business impact.
  • Design comprehensive, multi-channel marketing programs that accelerate outcomes across the funnel with a variety of audiences.
  • Execute on projects by working closely with Product, Sales, Data Science, and other partners.
  • Lead experimentation from designing tests to analyzing results that drive business impact.
  • Leverage AI and advanced analytics to accelerate business impact.

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • 5+ years of experience in growth marketing, digital marketing, marketing strategy, product growth, management consulting, or related field
  • 4+ years of work experience in analytics - data extraction, querying, & interpretation with languages such as SQL including leveraging AI tooling
  • 4+ years of experience developing and executing strategies to drive Marketing impact across multiple channels, combining quantitative analysis with qualitative customer insight to optimize performance and scale successful programs
  • Experience developing & leveraging audience understanding via quantitative methods (segmentation, behavioral analysis) and qualitative methods (customer research, market insight), and translating findings into full-funnel marketing strategies
  • Proficiency in quantitative analysis geared towards drawing actionable insights from complex datasets
  • Experience designing & executing experiments, interpreting results, and translating findings into decisions
  • Experience establishing KPIs, measurement frameworks, and attribution models, including incrementality and mixed media approaches, that connect marketing activities to business outcomes
  • Proficiency in leveraging AI tools to accelerate business outcomes (e.g., audience research, personalization, content development, marketing optimization, etc.)
  • Experience distilling complex data into compelling narratives and influence stakeholders at all levels of the organization
  • Experience working with and influencing cross-functional teams including Product, Sales, Analytics, etc
  • Experience working on marketing programs that reach a wide range of business customers

Preferred Qualifications:
  • Familiarity with advanced analytics including statistical analysis, predictive analytics, or machine learning applications in marketing
  • Experience with data visualization tools (e.g., Tableau, Python, etc.) and ability to design executive-level dashboards that communicate complex insights to diverse audiences
  • Knowledge of Meta's products and platform capabilities, or experience with similar technologies
  • Demonstrated use of AI tools to accelerate core marketing capabilities
  • 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.
$134,000/year to $189,000/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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