Data Scientist | Arlington, VA

Detailed Information

  • Location: Arlington, VA

  • Company: United States Army

with skills in big data storage and processing, building data pipelines, and overseeing extract, transform, and load (ETL). Creating or developing the data architecture with analysis based on sound data and knowledge of information systems and design. Analyze a variety of data sources to provide data-driven insights to the organizations to streamline processes.

Align data architecture with organizational business requirements. Requirements Conditions of Employment Appointment may be subject to a suitability or fitness determination, as determined by a completed background investigation. Qualifications Who May Apply: US Citizens In order to qualify, you must meet the education and/or experience

requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e. g. Peace Corps, Ameri Corps) and other organizations (e.

g. professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is. Basic Education Requirement: Degree: Mathematics, statistics, computer science, data science or field directly related

to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

ORCombination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. Specialized Experience: In addition to meeting the basic education requirement, applicants must meet specialized experience requirements: One year of specialized experience which includes: analyze a variety of data sources to provide data-driven insights for the organizations to streamline processes; apply data science and novel machine learning techniques and algorithms; manage complex data sets and performing extensive analysis of volumes of data sufficient to design and deliver frameworks to facilitate data development lifecycle and design; disseminate findings through published technical reports, papers, and presentations at meeting and conferences.

This definition of specialized experience is typical of work performed at the next lower grade/level position in the Federal service (GS-12). How You Will Be Evaluated You will be evaluated for this job based on how well you meet the qualifications above. Once the announcement has closed, a review of (resume, supporting documents, and responses to the questionnaire) will be used to determine whether you meet the qualification requirements listed on this announcement.

If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and/or experience, you may lose consideration for this position. Please follow all instructions carefully when applying, errors or omissions may affect your eligibility. You should list any relevant performance appraisals and incentive awards in your resume as that information may be taken into consideration during the selection process.

If secected, you may be required to provide supporting documentation. Required Documents The documents you are required to submit vary based on whether or not you are eligible for preference in federal employment. A complete description of preference categories and the associated required documents is in the. As described above, your complete application includes your resume, your responses to the online questionnaire, and documents which prove your eligibility to apply. If you fail to provide these documents, you will be marked as having an incomplete application package and you will not be considered any further.

1. Your resume: Your resume may be submitted in any format and must support the specialized experience described in this announcement. If your resume includes a photograph or other inappropriate material or content, it will not be used to make eligibility and qualification determinations and you may not be considered for this vacancy. For qualifications determinations your resume must contain hours worked per week and the dates of employment (i. e. HRS per week and month/year to month/year or month/year to present).

If your resume does not contain this information, your application may be marked as incomplete and you may not receive consideration for this position. For additional information see: 2. Other supporting documents: Cover Letter, optional Most recent Performance Appraisal, if applicable This position has an individual occupational requirement and/or allows for substitution of education for experience. If you meet this requirement based on education you MUST submit a copy of your transcript with your application package or you will be rated ineligible. See: NOTE: Documents submitted as part of the application package, to include supplemental documents, may be shared beyond the Human Resources Office.

Some supplemental documents such as military orders and marriage certificates may contain personal information for someone other than you. You may sanitize these documents to remove another person's personal information before you submit your application. You may be asked to provide an un-sanitized version of the documents if you are selected to confirm your eligibility. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.

S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. PDN-9ae1ea62-1f93-48e4-9600-a30d8ea85cbd

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