JOE Listings (Job Openings for Economists)

August 1, 2014 - January 31, 2015

Facebook

This listing is inactive.
Data Science
Econometrician

JOE ID Number: 2014-02_111451367
Date Posted: 09/24/2014
Date Inactive: 01/31/2015
Position Title/Short Description
Title: Econometrician
Section: Full-Time Nonacademic
Location: Menlo Park, California, UNITED STATES
JEL Classification: C1 -- Econometric and Statistical Methods and Methodology: General
Keywords:
econometrics, io, empirical, (XTX)^-1XTY
Salary Range: Competitive

Status Update: Listing has been Removed.
Full Text of JOE Listing:

Facebook is seeking econometricians to join the Data Science team in either the statistics or economics research groups.

Econometricians in the Statistics and Decision Science group develop and disseminate innovative inference, modeling, and visualization tools to promote data-driven decision making across the company. The ideal candidate will thrive at this intersection of software engineering and methodology research, possessing a passion for elegant, high performance, and scalable implementations of statistical/visual techniques that provide reliable insights in high impact applications spanning Facebook's internal and external products. More information can be found in our generic job posting on the Facebook careers page: https://www.facebook.com/careers/department?req=a0IA000000CzAdXMAV

We are also looking for our first econometrician to join the economic research group at Facebook. The ideal candidate has deep expertise in empirical IO (demand estimation, pricing, structural modeling) or time series modeling (forecasting, dynamic modeling) and wants to design and drive the statistical modeling and inference for a broad range of research projects across the team (market design, behavioral, IO, networks, macro, etc.).

More information can be found in our job posting on the Facebook careers page: (https://www.facebook.com/careers/department?req=a0IA000000CzAdXMAV) or (https://www.facebook.com/careers/department?req=a0IA000000CzAekMAF). Candidates are strongly encouraged to explore Facebook's research page (https://research.facebook.com/), the Facebook Data Science page (https://www.facebook.com/data), and publications from the Data Science team (https://www.facebook.com/publications).

Applicants should send a cover letter (addressing why you are an excellent fit for this position), a resume/CV, and optionally up to one letter of reference to aea2015@fb.com. Questions and inquiries about the position may be directed to Mike Bailey (mcbailey@fb.com).

Application Requirements:
  • Application Instructions Below
Application deadline: 01/31/2015
Application Instructions:
Applicants should send a cover letter (addressing why you are an excellent fit for this position), a resume/CV, and optionally up to one letter of reference to aea2015@fb.com. Questions and inquiries about the position may be directed to Mike Bailey (mcbailey@fb.com).