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Manager Meta Data Science Jobs (NOW HIRING)

You'll own meaningful parts of it, set direction with data and judgment, and steer a small team ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platfor.

Data Scientist

Menlo Park, CA · On-site

$210K - $281K/yr

Minimum Qualifications • Bachelor's degree in Computer Science, Computer Engineering, relevant ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platfor.

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

This role is at the heart of Meta's mission to build technologies that bring the world closer ... Data Center Campus Facility Manager Responsibilities: * Establish and lead the campus Facility ...

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Manager Meta Data Science information

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$31K

$97.1K

$172K

How much do manager meta data science jobs pay per year?

As of Jul 11, 2026, the average yearly pay for manager meta data science in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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. For a Manager of Data Science, understanding this principle helps prioritize features, models, or data sources that have the most significant impact on outcomes, enabling more efficient resource allocation and decision-making.

How much do meta data scientist managers make?

Meta Data Science Manager salaries typically range from $150,000 to $220,000 annually, depending on experience, location, and company size. They often receive additional compensation such as bonuses and stock options, and require strong leadership, technical skills, and experience managing data science teams.

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.

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.

Can data scientists make $300k?

Data scientists, including those in managerial roles like Manager of Data Science, can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and in high-paying industries such as finance or technology. Achieving this level often requires a combination of technical expertise, leadership abilities, and sometimes stock options or bonuses.

Is 40 too late for data science?

For a Manager in Data Science, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and staying current with industry trends, regardless of age.

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.
More about Manager Meta Data Science jobs
What cities are hiring for Manager Meta Data Science jobs? Cities with the most Manager Meta Data Science job openings:
What are the most commonly searched types of Meta Data Science jobs? The most popular types of Meta Data Science jobs are:
What states have the most Manager Meta Data Science jobs? States with the most job openings for Manager Meta Data Science jobs include:
Infographic showing various Manager Meta Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Water Manager, Data Center Development

Water Manager, Data Center Development

Meta

Menlo Park, CA

$132K/yr

Full-time

Re-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 Water Manager to lead water stewardship and environmental compliance efforts in support of data center development and operations. In this role, you will drive strategies to minimize water consumption, manage regulatory permitting, and advance sustainable water use across Meta's data center portfolio. You will work at the intersection of environmental engineering, infrastructure development, and corporate sustainability, ensuring that Meta's data centers meet rigorous water efficiency targets and comply with applicable environmental regulations.
Water Manager, Data Center Development Responsibilities:
  • Lead water and wastewater due diligence, risk assessments, and strategy for data center site selection efforts in the U.S., including watershed analyses, utility and infrastructure assessments, water rights needs, and/or water-related permit requirements
  • Facilitate and drive communication and cross-team coordination between internal water stakeholders, including sustainability, engineering, design, and construction
  • Manage and develop water/sewer agreements during all phases of a project, including initial negotiations along with partner teams during site selection, including the renegotiation of agreements if needed
  • Lead discussions and long-term relationships with water utilities regarding technical aspects of projects, including water/sewer agreement terms and conditions, projected capacity requirements of various data center products, and off-site infrastructure improvements
  • Scope, review findings, and provide direction to consultants and internal teams on water evaluations, when necessary
  • Communicate to multiple diverse Meta teams and leadership regarding water risks and operational viability for new sites, as well as water commitments and obligations for selected sites
  • Work with internal partners on external stakeholder communication
  • Collaborate with the Meta Policy team to monitor relevant state and local policies that could affect water for specific sites
  • Provide expertise to diverse internal teams and coordinate with other teams about relevant water issues and requirements. Develop training and educational tools regarding water goals, compliance, and awareness
  • Manage the preparation of transition documents for use by the Water Program Manager during construction and operations for data centers, including coordinating input from consultants and diverse internal teams
  • Assist in facilitating the growth of the water program within Meta Data Centers as the company continues to grow and builds water excellence

Minimum Qualifications:
  • Ability to manage multiple projects and coordinate with internal staff, external consultants, and other stakeholders
  • Ability to communicate and work with highly confidential information
  • Experience independently managing task execution, tracking progress, and driving deliverables to completion with minimal oversight
  • Professional experience in working with water utilities in the United States
  • Ability to travel domestically (up to 30%)
  • Technical expertise related to water use and wastewater discharge, water efficiency techniques, as well as water policy and permitting in the United States
  • Strong communication, organizational, and program management skills
  • Ability to work in teams, and establish and maintain cross-functional and working relationships
  • Bachelor's degree and 6+ years of professional experience in the planning, design, construction, and operation of utility infrastructure projects for water supply, treatment, and conveyance and wastewater treatment, water resources management, and/or hydrology/hydrogeology

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with water and wastewater infrastructure planning for data centers
  • Professional Civil Engineer's License
  • Experience supporting water stewardship programs for data centers, hyperscale facilities, or other high water-use technology infrastructure
  • 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
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Master's degree in related field

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.
$132,000/year to $188,000/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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