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Lecturer, Data Science for Economists

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POST DATE 8/23/2016
END DATE 7/2/2017

University of California - Los Angeles Los Angeles, CA

Location
Los Angeles, CA
AJE Ref #
575961414
Job Classification
Full Time
Job Type
Regular
Company Ref #
JPF02532-LA
Experience
Entry Level (0 - 2 years)

JOB DESCRIPTION

LECTURER, DATA SCIENCE FOR ECONOMISTS APPLY NOW TO LECTURER, DATA SCIENCE FOR ECONOMISTS

Job #JPF02532

* L&S SOCIAL SCIENCES - ECONOMICS

RECRUITMENT PERIOD

Open August 21st, 2016 through June 30th, 2017

DESCRIPTION

The candidate will be expected to teach a class on Data Science to a maximum of 50 students who are enrolled in a graduate economics program.

The candidate will provide instruction to students introducing them to Exploratory Data Analysis, Machine Learning, Big Data Processing, Sentiment Analysis, and Multi-dimensional Data Visualization--with a specific focus on problems in Applied Economics.

The candidate will teach R Programming Language for enabling students to solve data analysis and basic Machine Learning algorithms including: Linear Regression, Naive-Bayes, Clustering, and Classification, and Tableau for Data Visualization. The Candidate will also teach the importance of Data Science as a discipline in multiple application domains.

The candidate will address Data Privacy and Regulatory Compliance in the use of data.

The candidate will help define term projects for each student and will supervise their projects as part of the course.

The class will commence in the Spring Quarter 2017 on or about March 29th. Instruction will continue for 10 weeks, followed by a final examination week.

Candidates are encouraged, but not required, to submit their recommended textbooks and readings for the course.

JOB LOCATION

Los Angeles, CA

REQUIREMENTS

Documents

*

Curriculum Vitae - Your most recently updated C.V.
*

Cover Letter
*

List of References - References will only be called after the final round of interviews has been completed.

References

3 references required (contact information only)