Senior Data Scientist

As a Senior Data Scientist, you will apply expert knowledge of data science and quantitative analytical methods to organize, analyze, interpret, and derive meaningful insight from structured and unstructured data in support of real-world problem solving.

Location of position: Federal Acquisition Service (FAS), Office of Acquisition Solution Development.

We are currently filling one vacancy, but additional vacancies may be filled as needed.

Qualifications:

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-14 salary range starts at $127,624 per year and is dependent on your duty station.

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:

• A. 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
• B. 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.

In addition to meeting the basic requirement identified above, you must (also) meet the specialized experience to qualify :

You must have at least one year of specialized experience equivalent to the GS-13 level or higher in the Federal service.  Specialized experience is: Applying advanced data science, analytical, or computational methods to organize, process, and analyze large volumes of structured and unstructured data; Developing automated analytical workflows, artificial intelligence–enabled analytic approaches, or decision-support models that inform organizational strategy or operational outcomes; Designing or supporting scalable data architectures, cloud-based data processing, or reproducible analytic pipelines to enable reliable large-scale analysis; Assessing complex data relationships, quality, and limitations to ensure valid analytical results; and Translating analytical findings into clear visualizations, reports, or briefings that influence program, operational, or strategic decision-making within an information technology or data-driven environment.

Responsibilities:

• Leverages data tools, programming skills, and data visualization and advanced analytic techniques to support the mission.
• Constructs data pipelines using Structured Query Language (SQL) and data/database scaling techniques to handle data at scale.
• Analyzes extremely large, unstructured, and/or complex data sets, elements, systems, flows, dependencies, and relationships to build conceptual, physical, and logical data models.
• Serves as a subject matter expert for developing new methods to automate reports, develop predictive models, and analyze trends in collaboration with other IT Category offices, FAS, GSA, and agency partners/stakeholders.
• Translates complex business logic, analytic findings, and data limitations into concise, plain language. Closely ties findings and conclusions into the employing office and higher-echelon organizational mission, original problem statements, and project objectives.

Salary : $127,624