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Meta Data Science Jobs in Alabama (NOW HIRING)

Meta

Data Center Capacity Engineer

Montgomery, AL

$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 ...

C Spire

Senior Paid Social Specialist

Mobile, AL · On-site

$77K - $95K/yr

Collaborate with Data Science and Analytics teams to enhance attribution models, audience ... Meta, TikTok, or LinkedIn certifications. Experience in telecommunications, technology ...

C Spire

Senior Paid Social Specialist

Montgomery, AL · On-site

$77K - $95K/yr

Collaborate with Data Science and Analytics teams to enhance attribution models, audience ... Meta, TikTok, or LinkedIn certifications. Experience in telecommunications, technology ...

C Spire

Senior Paid Social Specialist

Birmingham, AL

$73K - $90K/yr

Collaborate with Data Science and Analytics teams to enhance attribution models, audience ... Meta, TikTok, or LinkedIn certifications. Experience in telecommunications, technology ...

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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 Alabama? The most popular types of Meta Data Science jobs in Alabama are:
What are popular job titles related to Meta Data Science jobs in Alabama? For Meta Data Science jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Meta Data Science jobs in Alabama look for? The top searched job categories for Meta Data Science jobs in Alabama are:
Meta Data Science jobs near you
Infographic showing various Meta Data Science job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Center Capacity Engineer

Data Center Capacity Engineer

Meta

Montgomery, AL

$111K/yr

Full-time

Posted 3 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 is seeking a Data Center Capacity Engineer to help ensure our global data center infrastructure can meet the demands of billions of users across Meta's family of apps and services. In this role, you will analyze server and infrastructure capacity trends, model future demand, and partner with hardware, network, and site operations teams to plan and deliver capacity at scale. Your work will directly influence how Meta provisions, allocates, and optimizes compute, storage, and network resources across its data center fleet, enabling reliable and efficient operation of the platforms that connect people worldwide.The Capacity Team at Meta is responsible for managing the growth and lifecycle of computing resources and data center capacity at Meta, as part of a global production footprint. The Data Center Capacity Engineer is responsible for planning and delivering the end-to-end server and hardware capacity requirements in a hyperscale data center campus. Collectively and globally, these roles plan and build one of the largest Internet services in the world with tens of billions of user requests, tens of exabytes of data, thousands of gigabits per second of network traffic, while maintaining operational and resource allocation efficiency. The Capacity Engineer will drive planning, ownership, and delivery of capacity within our data center locations. Demonstrated project management experience, including planning, tracking, and delivering complex infrastructure projects, and infrastructure engineering knowledge are required as this role manages complex infrastructure projects within the data center, often in parallel; including capacity planning, receiving, moving, and decommissioning.The candidate should be able to adapt to shifting priorities and manage concurrent workstreams in a dynamic operational environment. The successful candidate will be able to work independently and also within groups. This role will interact closely with many cross-functional partners, including capacity and performance engineers, data scientists, optimization and process engineers, capacity planners, supply chain, logistics, finance, data center construction, facility operations, security, network engineering, network operations, hardware engineering, software engineering, and systems & tooling engineering.
Data Center Capacity Engineer Responsibilities:
  • Own accountability for the three capacity workflows (receiving, moves, decommissioning), facilitating collaboration among various cross-functional partners to meet capacity demands
  • Collaborate with key stakeholders and partners to develop a strategy and drive initiatives that lead to meaningful improvements in support of data center operations. Maintain consistent touchpoints with key XFN partners across data centers
  • Analyze business capacity demands and translate that data into local plans to enable rapid delivery of capacity to the data center
  • Plan, lead and collaborate with cross-functional data center teams to deliver complex data center infrastructure capacity projects in support of Meta’s growth, considering the interdependencies of production resiliency, power, cooling, network, server and application layers
  • Build cross-functional relationships and have the ability to influence policies and procedures to improve regional/global data center operations
  • Develop and share best practices across all global data centers for all elements of capacity while creating a culture of innovation, collaboration, accountability, continuous improvement, and safety
  • Drive alignment and execution of key capacity strategic, engineering, and operational initiatives across functional partners at the data center. Ensure operational consistency, to scale operations efficiently and effectively
  • Lead data analytics, metrics, and the interpretation of a complex environment to identify inefficiencies, opportunities, exceptions, and correlations, and proactively respond before they impact data center uptime and utilization. Perform root cause analysis of complex technical and engineering issues and drive resolution
  • Create/improve global standards for processes, workflows, and automation roadmaps for software automation that facilitate deployment, maintenance, and decommissioning of server hardware at scale
  • Work with Meta hardware and software engineering teams to help resolve complex technical issues that affect Meta's computing infrastructure
  • Mentor capacity team members both locally and globally. Seek out and provide guidance on challenges others are having and actively fix them in a scalable way
  • Apply deep knowledge of infrastructure (including, but not limited to cooling, power, networking, and automation) as it relates to the capacity role. Be a Subject Matter Expert (SME) in one or more of these areas

Minimum Qualifications:
  • 7+ years of experience in a combination of capacity planning, demand and supply management, production planning, operations planning, or infrastructure management
  • B.S., B.A., or B.Eng. in a relevant field, or equivalent degree or certification
  • Experience with process ownership and development, and systems development
  • Knowledge of enterprise-level networking, servers, and storage installations
  • Demonstrated understanding of data center infrastructure systems and applications
  • Familiarity with data center power and cooling constraints, and their impact on server density and capacity planning decisions
  • Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to multiple audiences
  • Demonstrated ability to solve complex problems and to deliver at scale

Preferred Qualifications:
  • Master's degree in an engineering discipline
  • Proficiency in programming and scripting languages such as SQL, R, Python, Bash, or other programming languages
  • Background in developing scenario-based capacity models that account for hardware supply chain variability and workload elasticity
  • Experience with server hardware lifecycle management, including procurement planning, rack integration, and hardware refresh programs in a large-scale data center environment
  • Experience in driving results through AI in a hyperscale environment
  • Experience building automated capacity tracking systems or integrating capacity data across multiple infrastructure domains
  • Experience in the application of data-driven continuous improvement through Lean Six Sigma or other process analysis methodologies, visualization, and modeling
  • Project management and delivery experience through Agile methodology or PMP certification

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.
$111,010/year to $158,995/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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