Research Scientist, Central Applied Science Job at Meta (Menlo Park)

Research Scientist, Central Applied Science

We are looking for researchers and applied scientists to join the Central Applie...

Location

United States , Menlo Park

Salary:

217000.00 USD / Year ▼

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Currently holds a PhD in the field of Operations Research, Computer Science, or a related field
At least 3 years of industry experience as an applied research scientist or a similar role
Experience with empirical research and for answering questions with data
Experience developing algorithms in languages like Python, C, C++ or Java
Experience analyzing datasets using languages like Python
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Job Responsibility

Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data based products
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Communicate best practices in quantitative analysis to partners
Work collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value
Proactively identify, scope and implement innovative solutions with well defined intermediate milestones
Actively identify new opportunities within Meta's long term roadmap for applied science contributions

What we offer

bonus
equity
benefits

Fulltime

Research Scientist, Central Applied Science

We are looking for researchers and applied scientists to join the Central Applie...

Location

Israel , Tel Aviv

Salary:

Not provided

Meta

Expiration Date

Until further notice

Requirements

Currently holds a PhD in the field of Computer Science, Data Science, or a related field from a top-tier academic institution
At least 3 years of industry experience as an applied research scientist or a similar role, studying and developing machine learning technologies
Experience with empirical research and for answering questions with data
Experience developing algorithms in languages like Python, C, C++ or Java
Experience analyzing datasets using languages like Python
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Job Responsibility

Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Work towards long-term ambitious research goals, while identifying intermediate milestones
Communicate best practices in quantitative analysis to partners
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value
Publish research results in top-tier conferences and at leading journals
Actively identify new opportunities within Meta's long term roadmap for applied science contributions

Research Scientist – Central Applied Science

We’re looking for applied scientists with substantial industry experience to joi...

Location

United States , Menlo Park

Salary:

257000.00 USD / Year ▼

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in computer science, statistics, operations research or a related field
4+ years of industry experience in an applied R&D capacity or similar function
Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields
Experience analyzing datasets using languages such as Python
Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
Experience developing algorithms in languages such as Python, C, C++ or Java
Experience analyzing large datasets using tools such as Presto, Hive or Spark
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
Work towards long-term ambitious research goals, while identifying intermediate milestones
Communicate best practices in quantitative analysis to partners
Work both independently and collaboratively with other scientists, engineers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users
Actively identify new opportunities for scientific tooling and systems to yield outsized impact, inline with Central Applied Science's role and mission within Meta

What we offer

bonus
equity
benefits

Research Scientist - Central Applied Science

We are looking for researchers and applied scientists to join the Central Applie...

Location

United States , Menlo Park

Salary:

217000.00 USD / Year ▼

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in computer science, statistics or a related field
Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields
Experience analyzing datasets using languages like Python or R
Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
Experience developing algorithms in languages like Python, C, C++ or Java
Experience analyzing large datasets using tools like Presto, Hive or Spark
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
Work towards long-term ambitious research goals, while identifying intermediate milestones
Communicate best practices in quantitative analysis to partners
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users
Actively identify new opportunities within Meta's long term roadmap for data science contributions

What we offer

bonus
equity
benefits

Research Scientist, Central Applied Science

We are looking for researchers and applied scientists to join the Central Applie...

Location

United States , Menlo Park

Salary:

181000.00 USD / Year ▼

Meta

Expiration Date

Until further notice

Requirements

Currently has or is in the process of obtaining a PhD in the field of Computer Science, Statistics, Operations Research, or a related field, or equivalent practical experience
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience with empirical research and for answering questions with data
Experience developing algorithms in languages like Python, C, C++ or Java
Experience analyzing datasets using languages like Python or R
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Job Responsibility

Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
Work towards long-term ambitious research goals, while identifying intermediate milestones
Communicate best practices in quantitative analysis to partners
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value
Actively identify new opportunities within Meta's long term roadmap for data science contributions

What we offer

bonus
equity
benefits

Software Applied Scientist

Microsoft is a place where engineers and innovators collaborate to shape the fut...

Location

Denmark , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Deliver high-impact, product-embedded AI solutions within Dynamics 365 Business Central by driving focused experimentation and applied data science initiatives that result in measurable improvements to user productivity, correctness, and business outcomes.
Design, implement, and evolve advanced model adaptation and fine-tuning pipelines—including techniques such as Reinforcement Learning from Human Feedback (RLHF)—to align AI and agent behavior with real-world business workflows, user intent, and enterprise constraints.
Own complex, end-to-end engineering and applied science initiatives, combining deep technical execution with close collaboration across development, product, and partner teams to influence feature design, quality bars, and delivery priorities.
Build strong alignment and trust with cross-functional stakeholders through clear, actionable communication, shared problem-solving, and a pragmatic, engineering-first approach to AI integration.
Develop and maintain robust measurement, evaluation, and experimentation frameworks tailored to AI-driven enterprise systems, enabling rapid iteration while ensuring reliability, performance, and compliance at scale.
Actively mentor and support peers by sharing best practices, reviewing technical designs, and contributing to a collaborative, high-performance engineering culture within the Business Central organization.
Apply AI-driven automation and tooling to streamline engineering workflows, accelerate development velocity, and improve overall team effectiveness—both within Business Central and across the broader ecosystem.

Fulltime

Data Scientist - Social Analytics

We’re building a Frontier Marketing organization that learns fast and executes w...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
1+ years of experience ingesting, cleaning, and analyzing large-scale social media data, including unstructured and semi-structured signals (e.g., posts, comments, engagement metadata), with attention to data quality, bias, and analytical fitness for use
1+ years of experience with social network analysis algorithms including community detection, centrality metrics, influence propagation models, graph-based clustering methods
1+ years of experience applying statistical or machine learning techniques to social or behavioral analytics problems
1+ years of experience with advanced visualization techniques for social analytics and tools such as PowerBI

Job Responsibility

Execute well-defined social analytics projects, translating business questions into analytical approaches with guidance from senior data scientists
Apply social analytics and social network analysis techniques (e.g., graph analytics, community detection, centrality analysis, influence or diffusion concepts) to understand engagement and behavioral patterns
Analyze large-scale, noisy, and unstructured social media data, contributing to incremental improvements in data quality, feature engineering, and analytical relevance
Develop analytical outputs, metrics, and visualizations that support marketing, public relations, and product decision-making
Collaborate with analysts and senior data scientists to contribute to scalable and self-serve analytics solutions
Communicate findings clearly through written summaries, presentations, and visualizations, translating technical results into business-friendly insights
Follow established best practices for data science quality, documentation, and reproducibility, and contribute to shared team standards and learnings
Embody our culture and values.

Fulltime

Senior Data Scientist - Social Analytics

We’re building a Frontier Marketing organization that learns fast and executes w...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR equivalent experience.
3+ years of experience ingesting, cleaning, and analyzing largescale social media data, including unstructured and semi-structured signals (e.g., posts, comments, engagement metadata), with attention to data quality, bias, and analytical fitness for use.
3+ years of experience applying social network analysis algorithms including community detection, centrality metrics, influence propagation models, graph-based clustering methods.
3+ years of experience applying statistical or machine learning techniques to social or behavioral analytics problems.
3+ years of experience with advanced visualization techniques for social analytics and tools such as PowerBI.

Job Responsibility

Own and deliver complex social analytics problem spaces end-to-end, leveraging strong analytic judgement while framing ambiguous business questions into clear analytical objectives and success measures
Apply advanced social network analysis methods (graph analytics, community detection, influence/diffusion modeling) and statistical techniques to understand engagement, behavior, and diffusion patterns to develop actionable insights
Evaluate and extract insights from noisy, large-scale and unstructured data, developing new methods to improve analytical quality and relevance
Collaborate with analysts and partners to translate data science solutions into scalable, self-serve analytics experiences
Drive execution independently, with minimal guidance, identifying key risks, dependencies, and trade-offs to ensure timely, high-impact delivery.
Partner directly with marketing, public relations, and product stakeholders to translate business questions into data science approaches, influencing decisions through explaining trade-offs and implications of data science results
Communicate complex findings clearly through narratives, visualizations, and executive-ready materials, translating technical results into business terms and clear recommendations
Serve as a technical thought leader and mentor across the team by setting high standards for data science quality, documentation and reproducibility, raising the overall bar for rigor and creativity.

Fulltime

Research Scientist, Central Applied Science

Meta

Location:
United States , Menlo Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 23, 2026

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