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

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:

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

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 are looking for Research scientists to join the Central Applied Science team....

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 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
A PhD in the field of Computer Science, Statistics, Operations Research or a related field, or equivalent practical experience
Experience with empirical research and for answering questions with data
Experience developing algorithms in languages such as Python, C, C++ or Java
Experience analyzing datasets using languages such as Python
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 analyses to partners
Work both independently and collaboratively with other scientists, engineers, and product managers to accomplish complex tasks that deliver demonstrable value
Actively identify new opportunities within Meta's long term roadmap for applied scientific contributions

What we offer

bonus
equity
benefits

Applied Scientist II, Central Machine Learning

Do you want to join an innovative team of scientists who use machine learning an...

Location

India , Bengaluru

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Job Responsibility

Use machine learning and analytical techniques to create scalable solutions for business problems
Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
Design, development, evaluate and deploy innovative and highly scalable models for predictive learning
Research and implement novel machine learning and statistical approaches
Work closely with software engineering teams to drive real-time model implementations and new feature creations
Work closely with business owners and operations staff to optimize various business operations
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Mentor other scientists and engineers in the use of ML techniques

Applied Scientist, Marketing Measurement

As an Applied Scientist on the incrementality foundations team within marketing ...

Location

United States , New York; San Francisco

Salary:

161000.00 - 179000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree or higher in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or a related discipline
2+ years of experience applying statistical and causal inference methods to real-world data in an applied setting
Strong foundation in statistical modeling, hypothesis testing, and experimental design, including A/B testing, incrementality, or quasi-experimental methods
Hands-on experience designing, analyzing, and interpreting experiments, including evaluation of uncertainty, limitations, and tradeoffs
Proficiency in Python or R and SQL for analyzing and modeling large, complex datasets
Experience working with marketing, growth, advertising, or similar business domains where measurement and investment decisions are central
Ability to clearly communicate analytical insights to technical and non-technical stakeholders and collaborate effectively in cross-functional teams
Demonstrated ability to collaborate effectively in cross-functional, fast-moving environments

Job Responsibility

Develop and apply statistical and causal inference models to estimate the incremental impact of marketing across channels, markets, and test designs
Design custom tests & analyze results from complex experiments, including multi-cell, market-level, and longitudinal tests
Contribute to foundational modeling efforts such as hierarchical smoothing, aggregation across tests, and handling of low-signal or sparse data
Assist in research on advanced topics, including learning elasticity with experiments and analyzing event relationships to improve experiment accuracy and interpretation
Partner with Product and Engineering to integrate incrementality models into reporting and decision-making workflows
Research and help establish best practices for experiment design, post-analysis interpretation, and measurement tradeoffs
Collaborate with other Applied Science and Data Science teams to align incrementality outputs with broader measurement and investment frameworks

What we offer

Bonus program
Equity award
Other types of comp
401(k) plan
Various benefits

Fulltime

Applied Scientist, Marketing Measurement

As an Applied Scientist on the incrementality foundations team within marketing ...

Location

United States , New York; San Francisco

Salary:

161000.00 - 179000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree or higher in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or a related discipline
2+ years of experience applying statistical and causal inference methods to real-world data in an applied setting
Strong foundation in statistical modeling, hypothesis testing, and experimental design, including A/B testing, incrementality, or quasi-experimental methods
Hands-on experience designing, analyzing, and interpreting experiments, including evaluation of uncertainty, limitations, and tradeoffs
Proficiency in Python or R and SQL for analyzing and modeling large, complex datasets
Experience working with marketing, growth, advertising, or similar business domains where measurement and investment decisions are central
Ability to clearly communicate analytical insights to technical and non-technical stakeholders and collaborate effectively in cross-functional teams
Demonstrated ability to collaborate effectively in cross-functional, fast-moving environments

Job Responsibility

Develop and apply statistical and causal inference models to estimate the incremental impact of marketing across channels, markets, and test designs
Design custom tests & analyze results from complex experiments, including multi-cell, market-level, and longitudinal tests
Contribute to foundational modeling efforts such as hierarchical smoothing, aggregation across tests, and handling of low-signal or sparse data
Assist in research on advanced topics, including learning elasticity with experiments and analyzing event relationships to improve experiment accuracy and interpretation
Partner with Product and Engineering to integrate incrementality models into reporting and decision-making workflows
Research and help establish best practices for experiment design, post-analysis interpretation, and measurement tradeoffs
Collaborate with other Applied Science and Data Science teams to align incrementality outputs with broader measurement and investment frameworks

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

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Research Scientist - Central Applied Science

Job Description

Job Responsibility

Requirements

What we offer

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