
Research Data Scientist
The Infrastructure Quantitative Engineering group is responsible for the strategic analysis to support and enable the continued growth critical to Facebook’s infrastructure organization. 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 Facebook'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.
2+ years of industry or graduate research experience solving analytical problems and building models using quantitative
Experience writing SQL queries
Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2
Experience working with distributed computing tools (Hadoop, Hive, Spark, etc.)
Python
Java
C++
SciPy
R
Scikit-learn
NumPy
Pandas
Data extraction
Time Management Skills
Statistical analysis and design
Verbal communication
Driven and self-motivated
Prioritizing skills
written communication
Detail Oriented and Organized
According to JobzMall, the average salary range for a Research Data Scientist in 12777 W Jefferson Blvd, Los Angeles, CA 90066, USA is $81,941 to $153,695 per year.
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Facebook, Inc. is an American social media and technology company based in Menlo Park, California. Facebook is one of the world's most valuable companies. It is considered one of the Big Five technology companies along with Microsoft, Amazon, Apple, and Google. Facebook offers other products and services. It acquired Instagram, WhatsApp, and Oculus, and independently developed Facebook Messenger, Facebook Watch, and Facebook Portal.

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