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.
• 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 & SQL to
  drive efficient analytics.
• Communicate final recommendations and drive decision making.

Minimum Qualifications

• Requires a Master's degree in Finance, Mathematics, Statistics, Operations Research or other related field and two years of experience in the job offered or in an analytics-related role. Requires two years of experience in the following:
• 1. Solving analytical problems and building models using quantitative, statistical or machine learning approaches
• 2. Experience with Machine Learning, Statistics, or other data analysis tools and techniques
• 3. Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets
• 4. Experience with at least one programming language (i.e. Python, R, Java, or C++)
• 5. Experience writing SQL queries
• 6. Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
• 7. Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
• 8. Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2
• 9. Experience with 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.

$177,320/year to $196,900/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.