Employer:             META PLATFORMS, INC. (f/k/a Facebook, Inc.)

Job Title:               Research Data Scientist

Job Code:              REQ-2404-136361

Job Location:        Bellevue, Washington

Job Type:              Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday

Salary:                   $176,865/year to $196,900/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 or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits.

Duties:

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.

Requirements:

Requires a PhD degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or other related field. Requires completion of a university-level course, research project, internship, or thesis in the following: 1. Machine Learning, Statistics, or other data analysis tools and techniques; 2. Performing data extraction, cleaning, analysis, and presentation for medium to large datasets; 3. Programming language: Python, R, Java, or C++; 4. Writing SQL queries; 5. Scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2; 6. Statistics methods such as forecasting, time series, hypothesis testing, classification, clustering, or regression analysis; 7. Data visualization libraries such as Matplotlib, Pyplot, or ggplot2; and 8. Learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras or Theano.

To apply, please send resume to the following email address  SWApplicant@meta.com & include the job order number visible to you above in the subject line of the email. It is important to include the job order number in the subject line of the email. Also include the Ref code number: REQ-2404-136361.