Data Scientist

WHAT IS DATA AND ANALYTICS (DAO)-RESEARCH, APPLIED ANALYTICS & STATISTICS (RAAS)?

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Position(s) are to be filled in the following area(s): DAO - DATA AND ANALYTICS

Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full‑time work; part‑time work is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.

To qualify for this position, you must meet the qualification requirements outlined below:

You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other 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.

COMBINATION OF

EDUCATION AND EXPERIENCE:

You may qualify with an equivalent combination of qualifying experience and education with at least 30 semester hours related to 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.

In addition to meeting basic requirements, to be eligible for this position, you must have at least one year of specialized experience at a level of difficulty and responsibility equivalent to the GS‑09 grade level in the Federal Service. Specialized experience for this position includes: applying descriptive or inferential statistical methods to analyze data, identify trends or patterns, evaluate results, and develop findings, reports, or recommendations;

using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis; experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform); applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings;

and creating reports, dashboards, visualizations, written summaries, or presentations to communicate statistical or technical findings to technical or non‑technical audiences.

OR

EDUCATION:

You may substitute education for specialized experience as follows: A Ph.D. or equivalent doctoral degree as described in the basic requirements in 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

Three full academic years of progressively higher‑level graduate education leading to a Ph.D. or equivalent doctoral degree in 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

You may qualify with an equivalent combination of qualifying experience and education.

In addition to the basic requirements above, to be eligible for this position at the GS‑12 level, you must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS‑11 grade level in the Federal Service. Specialized experience for this position includes experience performing all the following:

• Planning and carrying out data analysis assignments by applying…