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Manager Meta Data Science Jobs (NOW HIRING)

Tatari

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 ...

Tatari

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 ...

Tatari

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 ...

Tatari

Data Science Manager

New York, NY

$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 ...

Tatari

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 ...

Facebook App

Data Science Director

Bellevue, WA

$253K/yr

You will play a critical role in helping Meta build the platforms of the future. You will partner ... of work experience managing analytics teams, working collaboratively with Product and ...

Omnicom

Manager, Data Science

New York, NY · Hybrid

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency ... Meta (Blueprint), SQL, Python, R (online) * Demonstrated domain knowledge of business/industry ...

Omnicom

Manager, Data Science

New York, NY · On-site

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency ... Meta (Blueprint), SQL, Python, R (online) * Demonstrated domain knowledge of business/industry ...

Meta

Data Analyst, Global Operations

Austin, TX

$125K/yr

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent ... You will partner with operational, data science, data engineering, and product teams globally to ...

Meta

Data Scientist (Technical Leadership)

Seattle, WA · On-site +1

$210K/yr

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our ...

Meta

Data Analyst, Global Operations

New York, NY

$125K/yr

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent ... You will partner with operational, data science, data engineering, and product teams globally to ...

Meta

Product Data Operations Program Manager

Menlo Park, CA · On-site

$103K - $155K/yr

Meta is seeking a Product Data Operations Program Manager to drive AI solutions and data programs ... You will partner with data science, engineering, product, and operations teams to define program ...

Meta

Data Analyst, Global Operations

Seattle, WA

$125K/yr

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent ... You will partner with operational, data science, data engineering, and product teams globally to ...

Meta

Data Analyst, Global Operations

Menlo Park, CA

$125K/yr

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent ... You will partner with operational, data science, data engineering, and product teams globally to ...

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

As of Sep 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 does a manager 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 are the key skills and qualifications needed to thrive as a manager meta data science?

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.

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 cities are hiring for Manager Meta Data Science jobs?

Cities with the most Manager Meta Data Science job openings:

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Manager Meta Data Science jobs near you
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, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Research Scientist, Advanced Control

Menlo Park, CA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$184K/yr

Full-time

Re-posted 24 days ago

Key responsibilities

  • Define and own the advanced control roadmap in IDC, building on the team's existing physical modeling capabilities

  • Lead projects from problem framing through validated, deployment-ready solutions, translating operational challenges into research with clear success criteria

  • Partner with internal engineering teams and external vendors to co-develop and deploy advanced control strategies across Meta's data center fleet

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

At Meta IDC (Infrastructure Data Center), our goal is to deliver the trusted capacity that powers Meta's AI and products worldwide.The Physical Modeling team inside IDC develops physics-based and ML models to inform, de-risk, accelerate, and future-proof decisions across the IDC lifecycle. As Meta's data center fleet grows rapidly in scale and complexity, traditional control strategies are reaching their limits — they cannot effectively adapt to transient conditions, multi-system interactions, or next-gen configurations at the pace our fleet scales.We are looking for a technical leader with deep expertise in advanced control and AI to build on our existing modeling foundation — defining and driving the roadmap for intelligent control that improves efficiency, reliability, and sustainability at fleet scale. The chosen candidate will lead cross-functional initiatives spanning internal engineering teams and external industrial control system vendors to develop and deliver deployable, robust control strategies across Meta's data center fleet.
Research Scientist, Advanced Control Responsibilities:
  • Define and own the advanced control roadmap in IDC, building on the team's existing physical modeling capabilities
  • Shape the vision for intelligent, autonomous data center operations from advisory recommendations to governed autonomy at fleet scale
  • Lead projects from problem framing through validated, deployment-ready solutions, translating ambiguous operational challenges into well-scoped research with clear success criteria
  • Develop RL-based control strategies that enable self-optimizing data center systems — improving thermal stability, energy efficiency, and operational reliability in transient conditions
  • Shape advanced control strategies into deployable solutions that align with Meta's system architecture, operational constraints, and deployment requirements
  • Establish validation frameworks and safety guardrails that build operational trust
  • Partner with internal engineering teams and external industrial control vendors to co-develop deployable advanced control solutions
  • Drive cross-functional alignment on methodology, adoption, and integration with Meta's system architecture, operational constraints, and fleet-scale deployment challenges
  • Represent advanced control capabilities to senior stakeholders, influencing investment and prioritization decisions

Minimum Qualifications:
  • PhD in a science or engineering discipline
  • 8+ years of experience spanning advanced control (e.g., MPC, optimal control, adaptive control, etc.), applied reinforcement learning or AI-driven control, and critical infrastructure control systems
  • Technical leadership experience architecting and delivering research-to-production projects
  • Working knowledge of mechanical, electrical, and thermal systems in industrial or critical infrastructure environments
  • Demonstrated track record of leading interdisciplinary research and engineering initiatives across teams or organizations
  • Experience communicating technical strategy to both technical and non-technical audiences
  • Experience driving alignment in cross-functional, matrixed organizations

Preferred Qualifications:
  • Experience in data centers or critical MEP (Mechanical, Electrical, Power) infrastructure
  • Experience with HVAC controls, Building Management Systems (BMS), or hardware-in-the-loop / software-in-the-loop validation
  • Familiarity with digital twins or physics-based simulation as training environments for control
  • Experience designing safety validation frameworks or advisory-to-autonomous control pipelines
  • Experience applying reinforcement learning to physical systems or industrial control problems
  • Familiarity with industrial control system architectures and the constraints they impose on control strategy design

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.
$184,000/year to $257,000/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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