JOE Listings (Job Openings for Economists)

February 1, 2019 - July 31, 2019


This listing is inactive.
Viasat Data Analytics
Scientist - Economics

JOE ID Number: 2019-01_111462479
Date Posted: 03/26/2019
Date Inactive: 07/31/2019
Position Title/Short Description
Title: Scientist - Economics
Section: Full-Time Nonacademic
Location: Englewood, Colorado, UNITED STATES
JEL Classification: M2 -- Business Economics
Data Science
Data Analysis
Salary Range: 95000-125000
Full Text of JOE Listing:

Bigger challenges. Bolder ideas. Global impact. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. We’re the company behind the world’s fastest satellite internet service, with technology that’s helping to bridge the digital divide and improve life for our customers around the globe. By providing powerful new ways for people to connect with one another, gain greater access to education, entertainment, medical research, commerce, and much more, our team is empowering millions of customers worldwide.

Job Responsibilities

As a Data Scientist, you will contribute with:

Exploratory Analysis: Architect, design, and build data analysis pipelines working with large and complex data sets.

Visualizations: Create visualizations to effectively convey the information discovered through analysis

Product Operations: Design and analyze experiments, build dashboards, and evaluate & define metrics to improve business performance.

Our Team
We employ the latest technologies (Spark, Kafka, Impala, Hadoop) to analyze the Petabytes of data our operational systems produce. We employ developers, data scientists, and engineers to gain insight; solving both business and technical problems. Our innovative solutions are a result of the diversity of our team.

Your Opportunity

We are looking for a candidate with expertise in economic thinking and policy to further compliment economic and policy experts on the team.


You'll be especially competitive if you have any of the following:

Excellent understanding of several statistical and machine learning models
Extensive experience with data analysis tools such as R, Python, Matlab, QGIS, ESRI
Have familiarity with Big Data technologies such as Spark, Impala, Hadoop
Master’s Degree in related field
Ability to travel up to 25%


Recent Ph.D. in economics
Demonstrated leadership in analysis through presentations of research or peer reviewed publications
Amazon Web Services and Cloud computing required or demonstrable interest in learning
Data warehouse experience is a plus
Interest in internet services, platforms and how the internet works

Application Requirements:
  • Letters of Reference
  • CV
  • Application Deadline Has Passed