Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.

Research Data Scientist Responsibilities

• Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing state-of-the-art statistical and machine
  learning methodologies on top of Meta’s unparalleled data infrastructure.
• Join the Infrastructure Quantitative Engineering group responsible for the strategic analysis to support and enable
  the continued growth critical to Meta’s infrastructure organization.
• Apply their quantitative and computational expertise by using math, statistics, and machine learning to measure and
  optimize the cost, performance, reliability, and efficiency of Meta’s infrastructure and global telecom systems to deliver the best experience to our global audience.
• Work cross-functionally
  to define problem statements, collect data, build analytical models, and make recommendations.
• Build and maintain data-driven optimization models, experiments, forecasting algorithms,
  and machine learning models.
• Leverage tools like Python, R, Hadoop, and SQL to drive efficient analytics.
• Utilize experience with scientific computing and analysis packages such as
  NumPy, SciPy, Pandas, Scikit-learn, dplry, or ggplot2 and statistical methods such as forecasting, time series, and regression analysis to solve analytical problems and build models.

Minimum Qualifications

• Employer will accept a Master’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, Statistics, Operations Research, or related field and three years of experience in the job offered or in a Research Data Scientist-related occupation. Position requires three years of experience in the following:
• 1. Solving analytical problems and building models using quantitative, statistical or machine learning approaches
• 2. Data extraction, cleaning, analysis and presentation for medium to large datasets
• 3. Using a programming language such as Python, R, Java, or C++
• 4. Writing SQL queries
• 5. Computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
• 6. Using statistical methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
• 7. Data visualization libraries such as Matplotlib, Pyplot, or ggplot2
• 8. Machine learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras or Theano.

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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$204,334/year to $235,400/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.