USDA · 17 hours ago

Data Scientist

Indiana, United States

Full-time

Remote

Entry, Mid Level

1+ years exp

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Government Administration

No H1B

U.S. Citizen Only

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Responsibilities

Experience with data structures and methods involved with managing data (geospatial and non-geospatial) for quality and reconciling data issues.

Working with business requirements and the translation of operational workflow into data architecture and data composition.

Experience with quantitative and qualitative techniques in order to identify and evaluate implications of newly emerging data governance issues.

Demonstrated ability with mobile data collection systems, using a variety of software and devices, and their integration into GIS datasets.

Working with risk management principles and techniques including related computer hardware and software application packages.

Qualification

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MathematicsStatisticsComputer ScienceData ScienceData StructuresData ManagementData ArchitectureData GovernanceMobile Data CollectionGIS IntegrationRisk ManagementQuantitative TechniquesQualitative TechniquesComputer HardwareSoftware Applications

Required

You must be a US Citizen or US National.

Individuals who were born male after 12/31/1959 must be Selective Service registered or exempt.

Subject to satisfactory adjudication of background investigation and/or fingerprint check.

Direct Deposit: Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to their financial institution.

Successfully pass the E-Verify employment verification check.

Successful completion of one-year trial period.

All USDA employees are required to be enrolled in Continuous Vetting.

Degree: Mathematics, statistics, computer science, data science or field directly related to the position.

Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) plus additional education or appropriate experience.

FOR THE GS-13 LEVEL: Applicants must have one year of specialized experience (equivalent to the GS-12 level) that may have been obtained in the private or public (local, county, state, Federal) sectors which demonstrates: Experience with data structures and methods involved with managing data (geospatial and non-geospatial) for quality and reconciling data issues.

Working with business requirements and the translation of operational workflow into data architecture and data composition.

Experience with quantitative and qualitative techniques in order to identify and evaluate implications of newly emerging data governance issues.

Demonstrated ability with mobile data collection systems, using a variety of software and devices, and their integration into GIS datasets.

Working with risk management principles and techniques including related computer hardware and software application packages.

TRANSCRIPTS Are Required If this position requires specific coursework or a degree in a specific field to be basically qualified.