Econometrica INc.
May 22, 2019
Bethesda, Maryland
Job Type


Job Description:  Data Scientist

Department:  Data Analytics Group

Supervision: Division Director

About Econometrica, Inc.

We are researchers and experts helping our clients make informed decisions using advanced analytics. We tackle challenges with innovative methods, research tools and strategy to improve the quality of life. Whether examining policies to provide the best patient care, rebuilding housing communities, or analyzing the merits of space exploration, we apply hard work and dedication to each of our projects

The Opportunity

The Data Scientist will have responsibilities focused on several areas:

Project Planning
 Provide support in the design of health care research and evaluation projects.
Data Collection and Analysis
 Engage in data cleaning, coding, and recoding as necessary.
 Develop and implement analytical schema for complex primary (e.g., survey) and secondary (e.g., Census, medical claims) data.
 Maintain accurate records and documentation of data collection activities.
 Summarize data through various tabular and visual modes.
 Conduct and interpret multivariate analyses examples, including regressions with various distributions and duration models.
Document Development/Preparation
 Lead development/writing of project-related reports, standard operating procedures, presentations, and fact sheets, including providing data tables or other graphics that summarize findings.
 Lead in the preparation/presentation of documents for submission to clients or other parties.
Business Development
 Assist in research and writing of proposals and performing other related activities.

Required Education & Experience
Applicants should possess one or both of the following: Master’s or doctoral degree in social science, business, science, or related field.
 Minimum of 6 years of experience and training in social science, business administration, statistics, or science.
Applicants should also possess the following:
 Experience in technical support and analysis of complex programs, processes, and procedures.

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