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Full Time Meta Data Science Jobs (NOW HIRING)

Meta

Data Scientist (Technical Leadership)

New York, NY · 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 Scientist (Technical Leadership)

Bellevue, 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 Scientist (Technical Leadership)

Los Angeles, CA · 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 Scientist (Technical Leadership)

Sunnyvale, CA · 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 Scientist (Technical Leadership)

Menlo Park, CA · 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 Scientist (Technical Leadership)

Sunnyvale, CA · On-site

$210K - $281K/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

Research Scientist, Advanced Control

Menlo Park, CA · On-site

$184K - $257K/yr

At Meta IDC (Infrastructure Data Center), our goal is to deliver the trusted capacity that powers ... science or engineering discipline • 8+ years of experience spanning advanced control (e.g., MPC ...

CBRE

LevelUp Installer Program by Meta

Abilene, TX · On-site

$25/hr

Graduate successfully, and you'll transition into a permanent, full-time as a Fiber Installer at a Meta Data Centers. Whether you're local and ready to commute-or a road warrior ready to travel, this ...

CBRE

Level Up Installer Program by Meta

Fishers, IN · On-site

$25/hr

Graduate successfully, and you'll transition into a permanent, full-time as a Fiber Installer at a Meta Data Centers. Whether you're local and ready to commute-or a road warrior ready to travel, this ...

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All JobsMeta Data Science JobsFull Time Meta Data Science Jobs

Full Time Meta Data Science information

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$37.5K

$122.7K

$196.5K

How much do full time meta data science jobs pay per year?

As of Jul 11, 2026, the average yearly pay for full time meta data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Full Time Data Science roles typically value skills and experience over age, and many professionals transition into data science later in their careers. Success depends on acquiring relevant knowledge, such as programming, statistics, and tools like Python or R, and demonstrating your ability to solve complex problems regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Does Meta hire data scientists?

Yes, Meta hires data scientists to analyze large datasets, develop algorithms, and support product decisions. Candidates typically need strong skills in statistics, programming (such as Python or R), and experience with machine learning tools. The role often requires a relevant degree and experience in data analysis or related fields.

How much does a meta data scientist make?

A data scientist working at Meta typically earns between $100,000 and $160,000 annually, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning or big data may have higher compensation, often including bonuses and stock options.

What is the difference between Full Time Meta Data Science vs Full Time Data Analyst?

AspectFull Time Meta Data ScienceFull Time Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams within tech companies, often involving machine learning and AI projectsBusiness-focused environments, supporting decision-making through data reporting and visualization
Employer & Industry UsagePrimarily in tech, e-commerce, and social media companies like MetaAcross various industries including finance, marketing, and healthcare

Full Time Meta Data Scientists focus on developing advanced models and algorithms to extract insights from large datasets, often involving machine learning. In contrast, Full Time Data Analysts primarily interpret data through reports and visualizations to support business decisions. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and modeling.

More about Full Time Meta Data Science jobs
What cities are hiring for Full Time Meta Data Science jobs? Cities with the most Full Time 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 Full Time Meta Data Science jobs? States with the most job openings for Full Time Meta Data Science jobs include:
What job categories do people searching Full Time Meta Data Science jobs look for? The top searched job categories for Full Time Meta Data Science jobs are:
Full Time Meta Data Science jobs near you
Infographic showing various Full Time 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 $122,738 per year, or $59 per hour.
Research Scientist, Advanced Control

Research Scientist, Advanced Control

Meta

Menlo Park, CA

$184K/yr

Full-time

Posted 22 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

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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