Data Scientist

About the role

As a Data Scientist trainee, this position supports HR data analytics, reporting, and data governance initiatives across GSA. The role assists with collecting, analyzing, and visualizing HR data to support operational and strategic decision-making. Location of position: This position is located within the GSA, Office of Human Resources Management (OHRM), and may be filled in Raleigh, NC or Chicago, IL. We are currently filling one vacancy, but additional vacancies may be filled as needed. For each job on your resume, provide: the exact dates you held each job (from month/year to month/year) number of hours per week you worked (if part time). If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume. The GS-7 salary range starts at $52,693 per year. The GS-9 salary range starts at $64,453. Locality pay will be determined upon selection. If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected. This position has a positive education requirement: Applicants must submit a copy of their college or university transcript(s) and certificates by the closing date of announcements to verify qualifications. If selected, an official transcript will be required prior to appointment. BASIC REQUIREMENT for Data Scientist positions: 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. OR Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience. To qualify at the GS-7 level: In addition to the Basic Requirements above, all candidates must possess one year of specialized experience equivalent to the GS-05 level or higher in the Federal service. Specialized experience is experience: Collecting, reviewing, or working with data to ensure accuracy and reliability; Perforning basic data analysis (e.g., identifying trends, patterns, or discrepancies) using established methods; Creating or working with spreadsheets, datasets, or reports; and Using computer programs or tools (e.g., spreadsheets, databases, or data visualization tools) to organize, analyze, or present data. OR Education: One full year of graduate level education or Superior Academic Achievement (SAA). OR Combination of Education & Specialized Experience: A combination of graduate level education and appropriate experience that together meet the qualification requirements of this position. Superior Academic Achievement (SAA) at the baccalaureate level is fully qualifying at the GS-7 level. To claim SAA, submit documentation of one of the following: 1. Class standing -- You must be in the upper third of your graduating class in the college, university, or major subdivision, such as the College of Liberal Arts or the School of Business Administration, based on completed courses. 2. Grade-point average (rounded to one decimal point) of: 3.0 or higher out of a possible 4.0 ("B" or better) as recorded on your official transcript, or as computed based on 4 years of education, or as computed based on courses completed during the final 2 years of your curriculum; or 3.5 or higher out of a possible 4.0 ("B+" or better) based on the average of the required courses completed in your major field or the required courses in your major field completed during your final 2 years of the curriculum. 3. Election to membership in a national scholastic honor society in one of the national scholastic honor societies listed by the Association of College Honor Societies. To qualify at the GS-9 level: In addition to the Basic Requirements above, all candidates must possess one year of specialized experience equivalent to the GS-07 level or higher in the Federal service. Specialized experience is experience: Performing data preparation, validation, analysis, and data management activities; Retrieving, organizing, and analyzing data from automated systems or databases; Developing reports, dashboards, charts or data visualizations using analytical tools or software (e.g., SQL, Excel, Tableau, Power BI, Python, or similar tools); and Reviewing datasets and reports to support data accuracy and consistency. OR Education: Master's (or equivalent graduate degree) or have completed 2 years of progressively higher graduate education leading to a Master's or equivalent degree. OR COMBINATION: Combination of graduate education and specialized experience that when combined fulfills the requirements.

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