Data Scientist, Identity Research & Modeling

NLP PEOPLE • Menlo Park, CA, United States • $200k - $250k / year • 1m ago

Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast-growing organization.

Facebook is seeking a Data Scientist to join the Identity Research and Modeling group in our Core Data Science team. Individuals in this role are expected to be comfortable working as a software engineer and a quantitative researcher. The ideal candidate will have a keen interest in the study of an online social network and a passion for identifying and answering questions that help us build the best products. The Identity Research and Modeling group develops high-quality models of people’s online identity to power next-generation people-centric products and gain deeper insights into how people interact with the digital world.

Responsibilities:

Work closely with a product team to help them leverage identity modeling.
Research methods to improve inferences of attributes in our identity models.
Develop new user models and work closely with engineering teams to integrate them into Facebook products.
Perform studies to gain a deeper understanding of how people use Facebook products.
Drive the collection of new data and the refinement of existing data sources.

Company:

Facebook

Qualifications:

Ph.D. in a relevant technical field.
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
A passion for a deeper understanding of people and how they interact with the world through digital means.
A flexible analytic approach that allows for results at varying levels of precision.
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
Fluency with at least one scripting language such as Python or PHP.
Familiarity with relational databases and SQL-like query languages.
Expert knowledge of an analysis tool such as R or Matlab.
One or more of:

Expertise in text mining, NLP methods, information extraction and/or machine learning.
Expertise in user modeling.
Expertise in social psychology and computational social science.
Experience working with distributed computing tools a plus (Hadoop, Hive, etc.).