[Jobs] Census - Data Science

[Leora Lawton]

Positions are available in the new Computer Science/Data Science Staff
Development & Industry Exchange Program at the U.S. Census Bureau.



Work with leading academics and make an impact on our national statistics.



The Census Bureau is launching a Computer Science - Data Science Staff
Development and Industry Exchange Program (CSDS) in order to provide
opportunities to share best practices with Computer Scientists and Data
Scientists from the private sector and build the pool of available US
Citizen applicants for federal positions requiring these skill sets.



Participants will be selected after interviews from a resume pool gathered
by the Census Bureau’s Human Resources Division. Applicants must be US
Citizens and will need to pass a background investigation before employment.



To Apply:



Send a cover letter identifying the positions you are interested in, a
detailed resume, and unofficial versions of academic transcripts covering
relevant coursework to hrd.schedule.a.r.fellows.hiring at census.gov with
“CSDS” and the name of the position in subject line of the email. Please
make sure to remove Social Security Number and Date of Birth from all
documents. Please state citizenship on resume.



We expect to contact applicants to schedule interviews the week of July 8,
2018.



Initial Positions in the Center for Disclosure Avoidance Research (CDAR)



1. Senior Data Modeler: This grade 14 position will develop algorithms for
deploying differential disclosure approaches across data products for the
2020 Census. Applicants are expected to have experience in all stages of
statistical model development efforts, including requirements
analysis,design, testing, and implementation. Applicant should have
experience in creating realistic synthetic data from a model and validating
the data. The individual must have at least a working knowledge of the
concepts of disclosure avoidance, especially in the area of noise infusion.

Expertise in programming using SQL within the context of relational
databases, such as Oracle or MySQL, as well as producing scripted graphs
using tools such as R or Python, is required.



2. Statistician: This grade 11-13 position will support the Senior Data
Modeler in developing algorithms for deploying differential disclosure
approaches for data products. This grade 11-13 position will work to extend
the development of the disclosure avoidance system for the 2020 Census. The
successful applicant’s specific duties will include developing algorithms,
developing models that represent statistics of interest (households and
persons) for the 2020 Census, and transforming those statistics as models
that can be expressed in Python. The individual will also participate in
the development of a statistical processing system that can be built on top
of Python, NumPy, Apache Spark, and the Gurobi optimizer. The individual
will also create new optimization tasks using Gurobi, as well as create and
implement novel measures of error and accuracy. Fluency in Python3 required.



3. Computer Scientist/ Software Engineer: Successful applicants for this
grade 13 position will have a Bachelor’s in Computer Science or BS/MS/PhD
in science, mathematics, or engineering as well as professional experience
as a computational software engineer. Resumes should demonstrate experience
in developing production code that manipulates large data sets and
functions within a data management production system; proficiency in
statistical programing in Python; knowledge of Unix command line, and
scheduling jobs using tools such as PBSPro or Apache Spark; strong
interpersonal and communication skills; and use of professional software
engineering practices, including source code management and unit testing.



4. Technology Management: Successful applicants to this grade 14 position
will have experience and skills in management of a project to include
coordination of contractor resources and development of monthly status
reports. The successful applicant’s resume should demonstrate experience in
project management and/or task order management; experience with projects
related to data modeling and software engineering, working knowledge of
project management practices defined by PMI; excellent written and oral
communication skills, and ability to lead teams in the development of
complex applications. PMP Certificate is desired but not required.



5. Data Scientist: This grade 13 position will be responsible for data
management for the 2020 Census. In specific, the successful applicant will
be responsible for creating and running ETL (extract, translate and load)
operations, data format conversion, creating and implementing of simple
statistical models, data curation, running large-scale simulations with
software developed by the 2020 Census team and managing the data produced
by the results of those simulations, and producing summary reports. Fluency
in Python3 is required.



6. IT Specialists: These grade 13 positions will assure the successful
development, testing, and analysis of the 2020 Census disclosure avoidance
system. Successful applicants will provide computing support, DevOps
engineering, software quality assurance, software integration and curation,
analysis of performance, debugging of network permissions and connectivity
issues, configuration management, customer engineering and development of
technical documentation. Fluency in Python3 and Unix command line are
required. Resumes should demonstrate experience with Linux/SAS
administration, configuration of network communication services, SAS/Share,
UNIX/Linux scripting, file transfer protocols and data synchronization
(e.g.,FTP/SFTP and rsynch), migration of data processing operations across
various server platforms,and system services such as Apache and Tornado.



7. Trainer: This career ladder, grade 9-12 position will manage and deliver
training on new disclosure limitation procedures to the Disclosure
Avoidance Officers throughout the agency. More positions will become
available periodically. Applicants with strong resumes and interest in
working for the Census Bureau should submit application packages (cover
letters, resumes, and transcripts) describing their skills in model
fitting, data science, data analytics, machine learning, high performance
computing, and management of large data sets.



For further information, please contact Krista Park at
krista.park at census.gov




<http://www.popcenter.berkeley.edu>
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