[Jobs] Fwd: Job Openings at American Institutes for Research (AIR)

[Leora Lawton]

The Research and Evaluation division at *American Institutes for Research
(AIR)* has two openings to join our team in Washington, DC. Both positions
will contribute to a team supporting the National Household Education
Surveys program (NHES).

·         *Researcher*: AIR is seeking a statistician or data scientist to
conceptualize, build, and validate predictive models of survey response
propensity to inform the targeting of data collection procedures and to
design and conduct statistical analyses of methodological experiments.

·         *Research associate*: This position will involve deciphering
complicated and often incomplete or erroneous data files, checking for
errors and anomalies in data files, and communicating potential issues to
the client, as well as designing and implementing data editing, imputation,
and weighting programming code to create final, accurate analytic data
files for public release.

More information about these openings can be found below.

To apply, please click on the links included below.



*RESEARCHER*

https://jobs-airdc.icims.com/jobs/10186/researcher/job

AIR’s Research and Evaluation area is seeking a Researcher to join our team
in Washington, DC. The researcher would contribute to the development of
statistics about education that inform the discussion, debate and planning
of decision-makers at national, state, and local levels through a contract
with the National Center for Education Statistics (NCES). NCES is working
to analyze methodological data from the 2016 and 2017 administrations of
the National Household Education Survey as well as develop adaptive design
protocols in which data collection procedures (e.g., mode, incentives,
questionnaire length, etc.) will be tailored based on known characteristics
of sampled households. To inform this work, AIR is analyzing a wide array
of experimental data from the 2016 and 2017 collections, as well as
developing models aimed at accurately predicting households’ probability of
response under various designs, using a wide array of auxiliary data.

*Responsibilities *

AIR is seeking a statistician or data scientist to conceptualize, build,
and validate predictive models of survey response propensity to inform the
targeting of data collection procedures (e.g., mode sequence, incentives,
questionnaire length, etc.) and design and conduct statistical analyses of
methodological experiments embedded in the 2016 and 2017 data collections.

*Qualifications *

• Ph.D. in statistics, economics, educational policy, or other related
social sciences field;

• Expertise with survey and experimental data;

• Understanding of parametric and non-parametric approaches to predictive
modeling of binary and categorical outcomes (e.g., logistic regression,
classification/regression trees, random forests);

• Knowledge of and experience with model-building and validation techniques
(e.g., cross-validation);

• Proficiency with statistical software packages such as R, Stata, or
SAS/WPS;

• Ability to clearly communicate methods, results, and recommendations to
clients and other non-technical audiences on an ongoing basis;

• Ability to work independently and as part of a team, including the
ability to maintain a professional and effective working relationship with
project staff and clients;

• Ability to work under conditions requiring careful attention to detail.

*About AIR*

The American Institutes for Research (AIR) is one of the leading behavioral
and social science research organizations in the world. AIR is a
collaborative organization that works with clients to examine a wide range
of projects from early childhood development to adult education. We pride
ourselves in conducting high-impact, high-stakes projects for significant
federal, state, and private organizations. AIR's vision is that
research-based problem solving can improve the lives of all people.



*RESEARCH ASSOCIATE*

https://jobs-airdc.icims.com/jobs/10185/research-associate/job

AIR’s Research and Evaluation area is seeking a Research Associate to join
our team in Washington, DC. The associate would contribute to the
development of statistics about education that inform the discussion,
debate, and planning of decision-makers at national, state, and local
levels through a contract with the National Center for Education
Statistics. Our work includes all post-collection processing activities for
data collected as part of the National Household Education Surveys program.
This includes cleaning, quality control, data editing, weighting,
imputation, and disclosure prevention.

*Responsibilities *

The candidate will decipher complicated and often incomplete or erroneous
data files, check for errors and anomalies in the data files, and
communicate potential issues to the client, as well as design and implement
data editing, imputation, and weighting programming code to create final,
accurate analytic data files for public release.

*Qualifications *

• M.A. in statistics, economics, educational policy, or other related field

• Experience with data management and analysis in at least one statistical
software package such as R, Stata, or SAS/WPS

• Understanding of basic descriptive and inferential statistics (e.g.,
cross-tabulations, t-tests, and chi-square tests)

• General understanding of potential data quality issues and how to check
for them

• Strong organizational and interpersonal skills

• Ability to work independently and as part of a team

• Attention to detail and interest in educational research

*About AIR*

The American Institutes for Research (AIR) is one of the leading behavioral
and social science research organizations in the world. AIR is a
collaborative organization that works with clients to examine a wide range
of projects from early childhood development to adult education. We pride
ourselves in conducting high-impact, high-stakes projects for significant
federal, state, and private organizations. AIR's vision is that
research-based problem solving can improve the lives of all people.
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