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Meta Data Science Jobs in Arizona (NOW HIRING)

Meta

Network Engineer, Deployment & Support

Mesa, AZ

$135K/yr

Meta's Edge & Network Services (ENS) team is actively looking for passionate people to help us ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Meta

Network Engineer, Foundation & Support

Mesa, AZ

$162K/yr

... Meta standards * Influence future iterations of data center and network designs to ensure seamless integration of new infrastructure and enable scalability * Maintain technical reference, process ...

10X Health System

Director of Digital Growth

Scottsdale, AZ · On-site

$170K - $190K/yr

Own paid digital programs across Meta, Google, YouTube, TikTok, and emerging acquisition channels ... Partner with Creative to develop briefs rooted in performance data, customer insights, and channel ...

Achieve

Digital Designer

Tempe, AZ · On-site +1

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... This role demands someone who is part designer, part scientist, and part psychologist. You'll spend ...

Achieve

Digital Designer

Tempe, AZ · Remote

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... This role demands someone who is part designer, part scientist, and part psychologist. You'll spend ...

Achieve

Digital Designer

Tempe, AZ · Remote

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... This role demands someone who is part designer, part scientist, and part psychologist. You'll spend ...

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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 Arizona? The most popular types of Meta Data Science jobs in Arizona are:
What are popular job titles related to Meta Data Science jobs in Arizona? For Meta Data Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Meta Data Science jobs in Arizona look for? The top searched job categories for Meta Data Science jobs in Arizona are:
Meta Data Science jobs near you
Infographic showing various Meta Data Science job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Network Engineer, Deployment & Support

Network Engineer, Deployment & Support

Meta

Mesa, AZ

$135K/yr

Full-time

Posted 2 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's Edge & Network Services (ENS) team is actively looking for passionate people to help us tackle the unique set of challenges and opportunities we face, while contributing to our company mission of connecting the world. Our team is the execution arm of the Meta network team and is responsible for the deployment and support of all production networks (Edge, Backbone, Optical, and Datacenter) as well as our content delivery network (CDN) across the globe. This truly global team offers a unique career opportunity to work with all of the latest network technologies and talented engineers solving some of the most complex problems in the industry.
Network Engineer, Deployment & Support Responsibilities:
  • Deployment, configuration, and management of all network infrastructure on our data center campus
  • Work with partner teams and vendors to manage day-to-day operations and reliability of the regional network
  • Schedule and perform maintenance including upgrades, migrations, and decommissioning of production networks
  • Create deployment install packages and maintain as-built documentation and asset database for network and computing equipment
  • Establish and implement global best practices and contribute to the design of new scalable network solutions
  • Support the development, testing and integration of new hardware and software platforms into the network
  • Participate in an on-call rotation to support the network infrastructure 24x7
  • 10-30% travel based on project

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of work experience responsible for designing, deploying and operating large-scale networks
  • Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, MPLS, RSVP-TE, VRRP)
  • Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6
  • Experience working in a multi-vendor environment with hands-on experience with networking hardware
  • Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling
  • Proven experience managing multiple projects simultaneously and deliver against mission critical deadlines
  • Proven experience working in a global team environment and solving problems with limited supervision

Preferred Qualifications:
  • Working knowledge of 40/100G Ethernet and CWDM, DWDM and optical transport network technologies
  • Experience with field-based work in Data Centers, Colocation Facilities, Internet Exchanges, or Central Offices
  • Working knowledge of data center power and cooling infrastructure and critical facility operational best practices
  • Familiarity with the Linux based systems. • Experience with scripting and automation (Bash, Python, Perl)
  • Technical leadership and people management experience
  • 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.
$135,000/year to $191,000/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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