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Data Science Internship job in Brisbane at Bureau of Fiscal Services

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Data Science Internship at Bureau of Fiscal Services

Data Science Internship

Bureau of Fiscal Services Brisbane, CA (On Site) Intern


Summary

The Office of the Chief Data Officer (OCDO) at the Bureau of the Fiscal Service, U.S. Department of the Treasury, is seekingData Science Interns for Summer 2023, with potential extension through Fall 2023 and Spring 2024. Interns will be supervised by product teams at OCDO and will present their work for feedback at least once every two weeks. Please note that the internship is unpaid. We hope to have paid internships in future years. Duties Data science interns will be primarily responsible for working with an interdisciplinary team (of data analysts, product managers, and web developers) to develop analyses and visualizations that support public-facing websites operated by the Data Transparency division of OCDO: USAspending.gov and FiscalData.Treasury.gov.



Examples of upcoming data science projects may include:

Joining federal spending data with Census data to analyze the impact of federal spending on communities across the United States; Researching potential new API endpoints to support software development activities such as enhancements to the popular Advanced Search feature on USAspending.gov; Improving data visualization for open data datasets on FiscalData.Treasury.gov; and Developing ways to connect Revenue, Spending, Deficit, and Debt totals to the public.



Requirements

Conditions of Employment - Must be at least 18 years old. - Must be enrolled at least half-time at an accredited academic institution. - Must maintain status as a current student in good standings during your internship. - Must provide proof of education (transcripts) prior to the job offer; An official transcript will be required if you are selected. - Must successfully complete a background investigation. - If you are a male applicant born after December 31, 1959, certify that you have registered with the or are exempt from having to do so.



Key


Requirements:

Please refer to “Conditions of Employment.“ Click “Print Preview“ to review the entire announcement before applying.



Qualifications

The ideal candidate has experience in designing and executing quantitative research projects that make use of Python or R, data visualizations, and SQL. Additionally, experience with API requests, statistical learning, regression, Google Analytics, and Census data is desirable. For consideration, the interested candidate should submit their resume and a 1-page letter of interest that explains their interest and qualifications for this position. How You Will Be Evaluated You will be evaluated for this job based on how well you meet the qualifications above. You will be evaluated based on your major, any relevant experience, and the needs of the program office. Required Documents A complete application includes 1. A resume, 2. Provide proof of education (transcripts) and 3. Submission of any required documents. Please note that if you do not provide all required information, as specified in this announcement, you may not be considered for this position. 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-9843f1f0-a560-47ab-9cbb-2e022054845a

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