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Manager Meta Data Science Jobs in Arizona (NOW HIRING)

Globe Telecom, Inc.

Data Science Manager

Globe, AZ · On-site

... scientists, fostering a data-driven culture and promoting continuous learning in RPA and AI. * Communicate Effectively: Present findings and recommendations related to RPA and AI to senior management ...

Varsity Tutors

Data Science Tutor

Tempe, AZ · Remote

$40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Phoenix, AZ · Remote

$40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Gilbert, AZ · Remote

$40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Scottsdale, AZ · Remote

$40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Chandler, AZ · Remote

$40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Glendale, AZ · Remote

$40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Mesa, AZ · Remote

$40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Applies and modifies existing scripts or software applications to support data management, data ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

$99K - $148K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Applies and modifies existing scripts or software applications to support data management, data ...

Varsity Tutors

Data Science Tutor

Tucson, AZ · Remote

$40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Applies and modifies existing scripts or software applications to support data management, data ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Applies and modifies existing scripts or software applications to support data management, data ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

They are seeking a visionary Senior Manager of AI & Data Science to lead a team in delivering scalable AI/ML solutions while ensuring responsible AI governance and fostering a high-performance ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

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All JobsManager Meta Data Science JobsManager Meta Data Science Jobs in Arizona

Manager Meta Data Science information

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists and managers often focus on the most impactful features or data subsets to optimize model performance and resource allocation.

Is 40 too old for data science?

Age is not a barrier to becoming a manager in data science; many professionals successfully transition into the field at various ages. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and staying current with industry trends. Employers value diverse experience and problem-solving abilities regardless of age.

How much do meta data scientist managers make?

Meta Data Science Manager salaries typically range from $130,000 to $200,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options. Strong leadership, technical skills, and experience with machine learning tools are important for this role.

What does a Manager of Meta Data Science do?

A Manager of Meta Data Science leads a team of data scientists in developing and implementing advanced analytics, machine learning models, and data-driven strategies for Meta (formerly Facebook). They are responsible for overseeing projects, mentoring team members, collaborating with cross-functional partners, and ensuring that data science solutions align with business goals. This role often requires both technical expertise and strong leadership skills to drive impactful decisions using data. Additionally, they work to improve processes, set research direction, and communicate findings to stakeholders.

What is the salary of a Data Scientist in Meta?

A Data Scientist at Meta typically earns a base salary ranging from $120,000 to $180,000 annually, depending on experience and location. Total compensation often includes bonuses, stock options, and other benefits, reflecting the company's competitive pay structure for data science roles.

How does a Manager Meta Data Science typically collaborate with cross-functional teams, and what communication challenges might arise?

A Manager Meta Data Science frequently collaborates with product managers, engineers, data analysts, and business stakeholders to ensure data-driven decision-making aligns with organizational goals. One common challenge is translating complex data science concepts into actionable business insights that are easily understood by non-technical teams. Effective communication and regular alignment meetings are essential to bridge knowledge gaps and ensure everyone is on the same page. Building strong relationships across departments and fostering a culture of transparency can help mitigate misunderstandings and streamline project delivery.

What are the key skills and qualifications needed to thrive as a Manager Meta Data Science, and why are they important?

To thrive as a Manager Meta Data Science, you need strong expertise in data science, machine learning, statistical analysis, and a relevant advanced degree, often in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms, as well as experience with big data frameworks, are typically required. Leadership, strategic thinking, and effective communication are crucial soft skills that enable success in managing teams and collaborating across departments. These skills are important because they ensure the ability to lead complex projects, drive data-driven decision-making, and align analytics goals with organizational objectives.
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 Manager Meta Data Science jobs in Arizona? For Manager Meta Data Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Manager Meta Data Science jobs in Arizona look for? The top searched job categories for Manager Meta Data Science jobs in Arizona are:
What cities in Arizona are hiring for Manager Meta Data Science jobs? Cities in Arizona with the most Manager Meta Data Science job openings:
Manager Meta Data Science jobs near you
Data Center Production Operations Engineer

Data Center Production Operations Engineer

Meta

Mesa, AZ

$83K/yr

Full-time

Posted 19 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

Meta's Data Center Production Operations team is responsible for keeping the physical infrastructure that powers billions of connections running at peak reliability and efficiency. In this role, you will support the day-to-day operations of large-scale data center environments, including server hardware lifecycle management, rack-level deployments, incident response, and capacity readiness. You will work closely with hardware engineering, network operations, and facilities teams to ensure production systems meet availability and performance targets that underpin Meta's global infrastructure.
Data Center Production Operations Engineer Responsibilities:
  • Perform hands-on installation, configuration, troubleshooting, and replacement of server hardware components including CPUs, memory, storage, and network interface cards across large-scale data center environments
  • Execute rack-level deployments and decommissions in alignment with capacity planning schedules, ensuring accurate asset tracking and documentation
  • Respond to hardware failure alerts and production incidents, diagnosing root causes and coordinating repairs to minimize mean time to recovery
  • Partner with hardware engineering and network operations teams to validate new server configurations and support qualification testing of next-generation infrastructure
  • Develop and refine standard operating procedures for recurring operational tasks, leveraging automation and AI-assisted workflows to improve efficiency and reduce manual effort
  • Monitor data center infrastructure health using operational dashboards and tooling, identifying trends that indicate systemic hardware or environmental issues
  • Collaborate with facilities and power and cooling teams to ensure physical infrastructure conditions remain within operational thresholds
  • Contribute to capacity readiness reviews by tracking hardware inventory, flagging deployment blockers, and communicating status to cross-functional stakeholders
  • Support continuous improvement initiatives by analyzing operational data, identifying recurring failure patterns, and proposing process or tooling enhancements
  • Maintain accurate records of hardware assets, incident tickets, and change management activities in accordance with data center operational standards

Minimum Qualifications:
  • 2+ years of experience in data center operations, including hands-on server hardware installation, troubleshooting, and replacement in a production environment
  • 2+ years of experience diagnosing and resolving hardware failures across server components such as CPUs, DIMMs, HDDs, SSDs, and network interface cards
  • Experience following and contributing to standard operating procedures, change management processes, and asset tracking practices in a large-scale data center
  • Experience collaborating with cross-functional teams including network engineering, facilities, and hardware engineering to resolve production issues and support infrastructure deployments

Preferred Qualifications:
  • Familiarity with data center infrastructure management systems for asset tracking, capacity planning, or incident management
  • Experience with scripting or automation tools (such as Python or Bash) to streamline repetitive data center operational tasks
  • Exposure to power and cooling systems, including working knowledge of how environmental factors affect server hardware reliability and performance
  • Experience supporting hardware qualification or bring-up testing for new server platforms in a production or lab environment

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.
$83,990/year to $130,000/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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